Python Developer Jobs in UAE

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job Automation Software Tester <p><strong>Job Title – Automation Software Tester</strong><br> Location: Dubai, UAE</p><br> About the Role <p>We are seeking a detail-oriented and quality-driven <strong>Automation Software Tester</strong> to design, develop, and execute automated test solutions that ensure the reliability, performance, and quality of software applications. The role is responsible for developing automation frameworks, executing functional and regression testing, identifying defects, and collaborating with cross-functional teams to deliver high-quality software products. The ideal candidate will have hands-on experience with modern automation tools, Agile methodologies, and CI/CD environments.</p><br> Key Responsibilities Test Automation Development <ul> <li> Design, develop, and maintain scalable automated test scripts for web, mobile, and API applications. </li> <li> Build and enhance automation frameworks to improve test coverage and execution efficiency. </li> <li> Identify opportunities to automate manual test cases and repetitive testing activities. </li> <li> Ensure automation scripts are maintainable, reusable, and aligned with development standards. </li> </ul> Test Planning &amp; Execution <ul> <li> Review business and functional requirements to develop comprehensive test scenarios and test cases. </li> <li> Execute functional, regression, integration, smoke, sanity, and end-to-end testing. </li> <li> Validate new features, enhancements, and bug fixes before production deployment. </li> <li> Perform cross-browser, cross-platform, and compatibility testing where applicable. </li> </ul> Defect Management <ul> <li> Identify, document, prioritize, and track software defects using defect management tools. </li> <li> Work closely with developers to reproduce issues and verify defect resolutions. </li> <li> Conduct root cause analysis for recurring defects and recommend preventive measures. </li> <li> Ensure defects are resolved within project timelines. </li> </ul> API &amp; Database Testing <ul> <li> Perform API testing using tools such as Postman, Rest Assured, or similar platforms. </li> <li> Validate backend services, integrations, and data integrity. </li> <li> Execute SQL queries to verify database transactions and application data. </li> <li> Ensure accurate data validation across integrated systems. </li> </ul> CI/CD &amp; Quality Assurance <ul> <li> Integrate automated test suites into CI/CD pipelines. </li> <li> Support continuous testing initiatives within Agile development environments. </li> <li> Monitor automation execution results and prepare detailed test reports. </li> <li> Recommend improvements to testing processes and quality standards. </li> </ul> Collaboration &amp; Documentation <ul> <li> Work closely with developers, business analysts, product owners, and project managers throughout the software development lifecycle. </li> <li> Participate in sprint planning, backlog refinement, daily stand-ups, and retrospective meetings. </li> <li> Maintain comprehensive test documentation, automation libraries, and execution reports. </li> <li> Share testing best practices and contribute to quality improvement initiatives. </li> </ul> Qualifications &amp; Experience <ul> <li> Bachelor's Degree in Computer Science, Information Technology, Software Engineering, or a related field. </li> <li> 3–6 years of experience in software testing with at least 2 years in automation testing. </li> <li> Strong experience with automation tools such as Selenium WebDriver, Playwright, Cypress, Appium, or similar frameworks. </li> <li> Proficiency in Java, C#, Python, JavaScript, or another programming language used for test automation. </li> <li> Experience with API testing tools such as Postman or Rest Assured. </li> <li> Working knowledge of SQL and relational databases. </li> <li> Experience with Git, Jenkins, Azure DevOps, GitLab CI/CD, or similar DevOps platforms. </li> <li> Familiarity with Agile/Scrum development methodologies. </li> </ul> Key Skills &amp; Competencies <ul> <li> Test automation framework development </li> <li> Selenium, Playwright, Cypress, or Appium </li> <li> API testing and validation </li> <li> Functional, regression, integration, and performance testing </li> <li> SQL and database validation </li> <li> CI/CD pipeline integration </li> <li> Defect tracking tools (JIRA, Azure DevOps, or similar) </li> <li> Version control systems (Git) </li> <li> Analytical thinking and problem-solving </li> <li> Attention to detail and quality assurance </li> <li> Excellent communication and teamwork skills </li> </ul> What We Offer <ul> <li> Competitive salary and comprehensive benefits package </li> <li> Opportunity to work on innovative software solutions and digital transformation projects </li> <li> Professional and collaborative work environment </li> <li> Career growth and continuous learning opportunities </li> <li> Exposure to modern automation frameworks, DevOps practices, and enterprise applications </li> </ul> <p><strong>Apply now!</strong></p><br> <br> <br> </div>

Company Overview Namiri Technology Services LLC provides tax integration software and services in the UAE, aligned with the e-Invoicing framework led by the Ministry of Finance (MoF) and Federal Tax Authority (FTA). Its flagship platform, Digi Tax, helps businesses transmit tax data simply, securely and efficiently. Digi Tax operates across Kenya, Nigeria, Zambia and the UAE through a single integration layer supporting multiple national e-invoicing regimes. The UAE framework follows a decentralised, Peppol-based five-corner model. Structured invoices are exchanged in the PINT AE format through Accredited Service Providers and reported to the FTA in near real time. The UAE mandate is entering its live phase. The voluntary pilot opened on 1 July 2026. Businesses with annual revenue of AED 50 million or more must appoint an Accredited Service Provider by 30 October 2026, with mandatory issuance beginning on 1 January 2027 for this group. Additional cohorts will follow during 2027. Demand for technical integration support is therefore immediate and expected to grow. Position Summary The Pre-Sales / Integrations Engineer is a customer-facing technical role supporting Sales, Partners and Integrations throughout the customer lifecycle. You will help prospects and customers understand how Digi Tax connects with their ERP, billing platform, POS or custom application. You will deliver technical demonstrations, answer integration questions, prepare solution documentation and support customers through pilot, sandbox and pre-go-live testing. You will also serve as the technical point of contact for Digi Tax’s partner ecosystem, including ERP implementation partners, software vendors, accounting and audit firms, resellers and internal development teams. You will help partners build, test and certify connectors, plugins and embedded workflows using the Digi Tax API. The role requires close collaboration with Sales, Integrations, Engineering and Product to develop clear integration plans that satisfy PINT AE and Peppol requirements. Responsibilities Prospects and Direct Customers Join sales calls to understand the customer’s systems, technical environment, invoice volumes and integration requirements. Deliver technical demonstrations covering Digi Tax, APIs, data flows, PINT AE field mapping and common integration patterns. Respond accurately to technical questions, RFPs, RFIs and security or compliance questionnaires. Prepare integration scoping documents, solution diagrams, field-mapping sheets and sample payloads. Support customers during pilot and sandbox phases by troubleshooting API calls, validating XML, interpreting PINT AE errors and explaining Peppol responses. Guide customers through onboarding requirements, including ASP appointment, Emara Tax onboarding, Peppol identifier setup and master-data preparation. Help customers identify and close data gaps between their ERP and the UAE Data Dictionary. Escalate complex implementation matters and hand over clearly to Integrations and Engineering. Partners and Ecosystem Act as the technical contact for ERP vendors, accounting platforms, implementation partners, channel partners, audit firms and developer teams. Run partner onboarding sessions covering API functionality, sandbox access, credentials and environment setup. Support partners building connectors, plugins, extensions and embedded workflows on the Digi Tax API. Advise partners where Digi Tax should fit within their invoice lifecycle and how to display statuses, errors and retries. Review partner integrations against functional and compliance checklists before certification or go-live. Conduct developer office hours and working sessions to resolve authentication, payload, validation and document-type issues. Create and maintain API documentation, quick-start guides, reference implementations, sample applications, Postman collections and changelogs. Communicate API changes, deprecations and new capabilities to partners. Identify frequently repeated partner requirements and recommend reusable platform features or plugins to Product. Cross-Functional Responsibilities Maintain pre-sales collateral, integration guides, FAQs, sample code, Postman collections and demo environments. Capture recurring customer and partner issues and share them with Product and Engineering. Monitor changes to MoF and FTA guidance, specifications and timelines. Ensure customer- and partner-facing guidance remains accurate and aligned with UAE e-invoicing requirements. Technical Skills Working knowledge of REST APIs, webhooks and authentication methods such as API keys, OAuth and certificates. Exposure to SOAP or Graph QL is an advantage. Comfortable working with XML and JSON and reviewing sample payloads. Exposure to UBL, XSD or Schematron validation is beneficial. Experience with Postman, Insomnia or similar API testing tools. Basic ability to read logs and diagnose integration issues. Understanding of how ERPs, billing platforms and POS systems generate and exchange transaction data. Exposure to SAP, Oracle Net Suite, Microsoft Dynamics 365, Odoo, Zoho, Sage or Tally is valuable. Understanding of ERP add-ons, middleware, i Paa S tools, plugins and extension frameworks. Awareness of good API design principles, including clear documentation, useful error messages, sandbox parity, idempotency and versioning. Ability to write practical developer documentation and quick-start guides. Basic understanding of tax invoices, credit notes, debit notes and self-billed invoices. Familiarity with UAE VAT concepts, including TRN, standard-rated, zero-rated and exempt supplies, reverse charge and designated zones. Familiarity with Peppol, PINT AE or regional frameworks such as ZATCA is preferred. Basic scripting ability in Python, Java Script or a similar language is an advantage. Education and Experience Bachelor’s degree in Computer Science, IT, Engineering, Finance, Accounting or a related field. Equivalent industry experience may be considered. One to three years of experience in a customer-facing technical role, such as pre-sales engineering, solutions consulting, technical support, implementation or integrations. Experience supporting customers with API-based product integrations is strongly preferred. Experience supporting external developers or partners building on an API is highly valued. UAE, GCC or regional ERP implementation experience is an advantage. Professional fluency in English is required. Arabic is a strong advantage. Candidate Profile Customer-focused and able to understand business needs and translate them into technical requirements. Curious and willing to learn new APIs, systems, tools and specifications quickly. Clear communicator who can explain technical concepts to non-technical stakeholders. Comfortable preparing documentation, writing follow-ups and delivering live demonstrations. Structured problem solver who investigates authentication, payload, validation and endpoint issues methodically. Takes ownership, follows through on commitments and escalates issues appropriately. Enjoys enabling partners through documentation, training and repeatable solutions. Treats developer documentation, examples and error explanations as part of the product. Comfortable managing multiple customer onboardings against fixed regulatory deadlines. Honest and composed; does not over-promise and can clearly explain unsupported features. Comfortable working with UAE’s multinational business community and adapting communication styles. Collaborative across Sales, Integrations, Engineering and Product. Compliance-aware and committed to providing guidance consistent with approved MoF and FTA requirements.

Who are we?<br><br>Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.<br><br>We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.<br><br>We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.<br><br>We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us!<br><br>About North<br><br>North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.<br><br>Why This Role?<br><br>This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.<br><br>We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.<br><br>Note: between 20 - 40% travel anticipated<br><br>In This Role, You Will<br><br>Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization Travel up to 20–40% to work on-site with customers and partners<br><br>You May Be a Good Fit If<br><br>You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs You have experience owning the full scope of a use case end-to-end You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting<br><br>It's a Bonus If You Have<br><br>Experience setting architectural standards for AI and agentic systems across distributed teams Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) Experience with enterprise security, compliance, or auditability requirements for AI systems<br><br>We are open to candidates currently based in the Middle East or who are open to travelling or relocating.<br><br>Full-Time Employees At Cohere Enjoy These Perks<br><br>A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. Full health and dental benefits, including a separate budget for mental health. RRSP matching, 401K, Pension Scheme.100% Parental Leave top-up for up to 6 months, for either parent. Annual enrichment benefits:<br><br>Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.<br><br>Education & learning stipend for conferences, courses, and coaching.<br><br>6 weeks of paid vacation (30 working days!) Budget for traveling to other offices if you are remote, plus an annual company offsite.<br><br>How And Where We Work<br><br>Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon. For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. For those not near an office: a co-working benefit so you can work alongside others in your city. Everyone receives a $500 home office stipend to set up your workspace properly.<br><br>If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.<br><br>We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.<br><br>We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.<br><br>Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and Linked In only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED)<br><br>Location: Bangkok, Thailand (*Not open for remote work)<br><br>Get to Know our Team:<br><br>The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda’s supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda.<br><br>The Opportunity: <br><br>As a Lead Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.<br><br>In this Role, you’ll get to:<br><br>Translate internal briefs into analytical projects (to include refining the initial brief and asking the ‘right questions’, working through potential hypotheses and storyboarding the output) Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders. Proactively identify opportunities for growth within supply and the wider business. Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply. Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence. Automate manual operational processes and present back on time savings gained through modernization of business operations<br><br>What you’ll Need to Succeed:<br><br>At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BIAdvanced working knowledge and hands-on experience in SQLStrong knowledge and hands-on experience in data visualization tools such as Tableau (preferably) Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R) Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.) Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite. Experience in conducting A/B testing experimentation Strong experience in finding data insights and provide business recommendation to the business A hacker’s mindset – the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping. Excellent communicator with superior written, verbal, presentation and interpersonal communication skills. Data driven in both decision making and performance measurement. Extreme comfort in ambiguous, fast-paced environment. Ability to multi-task, prioritize and coordinate resources.<br><br>It’s Great if you Have: <br><br>MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience. Asian market experience. Travel industry / e-commerce / tech / consulting experience.<br><br>#sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise Saa S companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.<br><br>The Role<br><br>As Senior Applied Value Engineer, you are a strategic pioneer leading the charge in solving complex, business-critical problems for our customers. Working with our most strategic global accounts, you will diagnose their strategy and key operational challenges to discover and build tailored, domain-specific use cases. You will architect and prototype state-of-the-art AI and technical solutions on the Celonis platform, demonstrate their business impact to C-suite Executives, and ensure successful implementation, adoption, and value realization.<br><br>The Work You’ll Do<br><br>Discovery & Advanced AI Solutioning: Act as the foremost Celonis product and domain positioning expert. Seamlessly translate deep domain expertise and complex customer requirements into flawless enterprise architecture. You will lead technical discovery to architect, prototype, and build bespoke, state-of-the-art AI solutions targeting nuanced operational pain points. AI Solution Development: Lead the end-to-end execution of high-stakes Proof-of-Value (PoV) projects. Architect and deliver highly secure, scalable LLM/agent systems with advanced RAG, tools, and strict guardrails; integrating flawlessly with rigid enterprise data, identity, and compliance frameworks. Value Selling & Realization: Act as a trusted advisor, maintaining active involvement with strategic accounts to ensure programmatic value realization until agreed-upon value, massive adoption thresholds, and operational transformations are achieved. Domain & Industry Specialization: Leverage deep domain expertise combined with cross-system, AI-driven solutioning to architect industry-specific E2E solutions. You will codify this work into reusable methodology and globally scalable assets to accelerate time-to-value and mentor junior peers.<br><br>The Qualifications You Need<br><br>Executive-Facing Presales & Value Engineering (7+ years): Demonstrated experience independently owning the technical close and driving compelling AI transformation narratives. Requires a proven background in accountable PoV execution, complex ROI/TCO modeling, and showcasing the "Art of the Possible" by pitching visionary solutions to hidden problems—with a clear track record of driving projects all the way through to achieved value. Domain & Industry Expertise: Comprehensive knowledge of core operational workflows and industry landscapes (e.g., supply chain, finance). You can speak the language of C-suite executives and seamlessly connect complex, systemic bottlenecks to strategic AI solutions. Agentic AI Systems: Advanced architectural mastery of LLM orchestration, tool use/function calling, RAG, agents, prompt engineering, and agentic patterns for enterprise workflows. Math & Operations Research: Practical, expert-level application of linear/nonlinear optimization, rigorous statistical analysis, reinforcement learning, and advanced predictive forecasting. Production ML/LLMOps at Scale: Extensive experience in designing deployment architectures and dictating reliability standards for production-grade AI across cloud providers (AWS Bedrock, Azure AI, GCP Vertex AI). Software/Data Engineering: Python proficiency, modular API design, creating reusable libraries, advanced SQL, and scalable data integration using ML/AI frameworks (PyTorch, Tensor Flow, scikit-learn, XGBoost, Hugging Face). AI Architecture & Security: Proven ability to architect secure enterprise cloud environments, ensuring stringent adherence to identity and access management (IAM) protocols, data governance frameworks, global privacy laws, and overarching security standards. Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos. Flawless English with exceptional executive presence. Degree: Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience preferred.<br><br>What Celonis Can Offer You<br><br>Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations. Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants. Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment. Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration. Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform. Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance. Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually. Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued. Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.<br><br>About Us<br><br>Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.<br><br>Get familiar with the Celonis Process Intelligence Platform by watching this video.<br><br>Celonis Inclusion Statement<br><br>At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.<br><br>Your Privacy<br><br>Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices<br><br>By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.<br><br>Please be aware of common job offer scams, impersonators and frauds. Learn more here.

Chief Technology Officer<br>AI-native transformation leader & hands-on builder-in-chief driving intelligent engineering to create real business value for enterprises. Architect what’s next. Own client revenue. Scale meaningful outcomes.<br>Your Mission: The Rolesolving for better. You are not just a technology leader. You are the chief architect of our future and innovation leader. You lead by doing—by building systems, shipping platforms, and scaling infrastructure that powers real AI outcomes. You won’t be presenting tech strategy on Power Point. You’ll be hands-on defining foundational architecture, evolving our platform DNA, and unlocking entirely new capabilities for AI-native product development. You will head Engineering, R&D, and Strategic Partnerships from a tech standpoint, employing first-principles design to create defensible moats and net-new revenue streams. Slide decks are optional after the platform is live. We’re not hiring a spokesperson. We need a CTO who still reviews PRs, whiteboards latency trade-offs, and thinks deployment-first. Relentless prototyper, ruthless refactorer, defender of velocity—you’ll be the Directly Responsible Individual (DRI) for velocity, integrity, innovation cadence and the performance of the engineering org behind it.<br>Your Responsibilitieswhat you will wake up to solve. This isn’t a “manage the tech team” role. You are the architect of reimagine 'what's next' and redefine the 'how' of 'what's next'. Your mission is to define the future of AI-native technology, build scalable platforms, and translate technical excellence into compounding business advantage. Here’s how you’ll make your mark:<br>Set the North Star — Strategy & Vision Architect the future. Define the 3-year roadmap for futurify.ai & evlos™, platform evolution, and infrastructure scale on Google Cloud. Link tech to P&L. Tie every architectural bet to revenue growth, margin, and client ROI (target ≥ 30% uplift). Build the Moat — Innovation & IPPatent the edge. File 10+ patents in 2 years across hybrid human-AI workflows, adaptive learning loops, and Agent2Agent protocols. Prove novelty. Run continuous prior-art sweeps; partner with legal to lock defensible claims. Accelerate R&D. Spin up internal accelerators—e.g., ROI dashboards with self-improving ML delivering production pilots in Power Point. Maintain a “code by day 1” rule; reduce iteration loops by 40 % via agentic automation. Guardrails & reliability. Embed SRE, security, and ethical HITL checks into CI/CD; track NPS > 80 via real-time dashboards. Grow the Engine — People & Ecosystem Elevate talent. Hire, coach, and retain world-class engineers; double internal promotion rate YoY. Set the bar. Codify standards, design reviews, and architectural principles that scale across squads. Partner to win. Forge deep alliances with hyperscalers, ISVs, and research labs; present Searce’s narrative at industry forums."<br>Welcome to Searce The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules. We don’t do traditional. As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better. We build alongside our clients. Not for the vanity metrics. But for the transformation to embed lasting competitive advantage for our clients. The result? Modern business reinvention, built on math, tech, and clarity of purpose.<br>Functional Skills Engineering minded Business & Tech Ownership: Designs, evaluates, and evolves AI & data platforms, Decision Intelligence Engineering, MLOps, Cloud Platform Engineering - owning the blueprint end-to-end. Platform Scalability Sense: Balances performance, tech-debt, and cost to scale reliably without sacrificing maintainability. First-Principles Builder: Uses evlos-style iteration to decide what to build, evolve, or retire—never cargo-culting patterns. Operational Judgment & Reliability: Knows when to optimise vs. refactor; delivers 99.9 % uptime, security, and ethical AI guardrails. Product-Aware Systems Thinker: Aligns architecture with business impact, usability, and extensibility—ties every feature to ROI. Complexity Simplifier: Turns deep tech into plain-speak narratives for execs, engineers, and clients alike. Team-Builder & Culture Carrier: Hires, mentors, and scales “solver” talent; fosters an always-in-beta, high-ownership culture. Strategic Trade-Off Navigator: Makes context-driven calls when speed > polish or robustness > elegance; communicates rationale clearly.<br>Tech Superpowers AI-Native Architect – Reimagines business with modern Tech to deliver platforms, accelerators & real value to clients. Process first mindset and ready to embrace agentic AI to enable process transformation. Full-Stack Platform Thinker – Builds modular, reusable services across data, MLOps, vector DBs, and Google Cloud infra. Distributed-Systems Savant – Crafts resilient, low-coupling architectures that survive burst traffic and node failure. Security & Privacy Guardian – Embeds zero-trust, privacy-by-design, and ethical guardrails into every pipeline. Multi-Agent Orchestrator – Engineers hybrid human-AI workflows, adaptive learning loops, and Agent-to-Agent protocols. Product-Minded Technologist – Balances technical rigor with user impact; ties every release to measurable ROI. Pragmatic Tool Picker – Chooses the simplest tech that compounds scalability; fluent in Python, Tensor Flow/PyTorch, Go. Engineer @ Heart – Writes, reviews, and debugs code daily; proves designs with benchmarks, not slideware. Business-first, tech-second, outcome focused technology leader."<br>Experience & Relevance Scale & Leadership – 15 + years leading high-growth engineering orgs; built teams from 10 → 200 while preserving velocity and culture. Architecture & AI Execution – Led 0→1 and 1→100 deliveries in MLOps, LLM stacks, or large-scale data infra on Google Cloud, Databricks, AWS, Open AI; agentic workflows. Cross-Functional Business Impact – Bridged R&D, product, and GTM to deliver ≥ 30 % ROI improvements; trusted by founders and Fortune-500 execs alike. High-Stakes Decisioning & Influence – Navigated trade-offs in mission-critical, multi-region deployments; converts technical depth into board-level clarity. Pedigree Credentials – Advanced degree (MS/PhD) in CS/AI/Eng; proven industry disruption record; combines MBB-style strategy with a builder’s execution bias.<br>Bonus Points (you will thrive if you have) Org Architect – Designed or scaled a 100 + engineer AI platform org from scratch. Patent Prodigy – Filed/secured ≥ 5 AI or distributed-systems patents. Open-Source Evangelist – Created or maintained widely adopted OSS in MLOps / vector databases. Recognized Tech Authority – Recognised expert (e.g., Google Dev Champion, AWS or Databricks) who optimises cost, latency, and security at hyperscale. Battle-Tested – Has broken production systems, learned, and automated safeguards to prevent repeats. Adoption-Focused – Proven knack for turning tech into sticky user adoption and recurring revenue. Founder Energy – Combines product vision, engineering heart, and ownership gut; bias for rapid prototyping & decision velocity within Searce “Happier” DNA<br>Join the ‘real solvers’ready to futurify? If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Chief Technology Officer<br>AI-native transformation leader & hands-on builder-in-chief driving intelligent engineering to create real business value for enterprises. Architect what’s next. Own client revenue. Scale meaningful outcomes.<br>Your Mission: The Rolesolving for better. You are not just a technology leader. You are the chief architect of our future and innovation leader. You lead by doing—by building systems, shipping platforms, and scaling infrastructure that powers real AI outcomes. You won’t be presenting tech strategy on Power Point. You’ll be hands-on defining foundational architecture, evolving our platform DNA, and unlocking entirely new capabilities for AI-native product development. You will head Engineering, R&D, and Strategic Partnerships from a tech standpoint, employing first-principles design to create defensible moats and net-new revenue streams. Slide decks are optional after the platform is live. We’re not hiring a spokesperson. We need a CTO who still reviews PRs, whiteboards latency trade-offs, and thinks deployment-first. Relentless prototyper, ruthless refactorer, defender of velocity—you’ll be the Directly Responsible Individual (DRI) for velocity, integrity, innovation cadence and the performance of the engineering org behind it.<br>Your Responsibilitieswhat you will wake up to solve. This isn’t a “manage the tech team” role. You are the architect of reimagine 'what's next' and redefine the 'how' of 'what's next'. Your mission is to define the future of AI-native technology, build scalable platforms, and translate technical excellence into compounding business advantage. Here’s how you’ll make your mark:<br>Set the North Star — Strategy & Vision Architect the future. Define the 3-year roadmap for futurify.ai & evlos™, platform evolution, and infrastructure scale on Google Cloud. Link tech to P&L. Tie every architectural bet to revenue growth, margin, and client ROI (target ≥ 30% uplift). Build the Moat — Innovation & IPPatent the edge. File 10+ patents in 2 years across hybrid human-AI workflows, adaptive learning loops, and Agent2Agent protocols. Prove novelty. Run continuous prior-art sweeps; partner with legal to lock defensible claims. Accelerate R&D. Spin up internal accelerators—e.g., ROI dashboards with self-improving ML delivering production pilots in Power Point. Maintain a “code by day 1” rule; reduce iteration loops by 40 % via agentic automation. Guardrails & reliability. Embed SRE, security, and ethical HITL checks into CI/CD; track NPS > 80 via real-time dashboards. Grow the Engine — People & Ecosystem Elevate talent. Hire, coach, and retain world-class engineers; double internal promotion rate YoY. Set the bar. Codify standards, design reviews, and architectural principles that scale across squads. Partner to win. Forge deep alliances with hyperscalers, ISVs, and research labs; present Searce’s narrative at industry forums."<br>Welcome to Searce The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules. We don’t do traditional. As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better. We build alongside our clients. Not for the vanity metrics. But for the transformation to embed lasting competitive advantage for our clients. The result? Modern business reinvention, built on math, tech, and clarity of purpose.<br>Functional Skills Engineering minded Business & Tech Ownership: Designs, evaluates, and evolves AI & data platforms, Decision Intelligence Engineering, MLOps, Cloud Platform Engineering - owning the blueprint end-to-end. Platform Scalability Sense: Balances performance, tech-debt, and cost to scale reliably without sacrificing maintainability. First-Principles Builder: Uses evlos-style iteration to decide what to build, evolve, or retire—never cargo-culting patterns. Operational Judgment & Reliability: Knows when to optimise vs. refactor; delivers 99.9 % uptime, security, and ethical AI guardrails. Product-Aware Systems Thinker: Aligns architecture with business impact, usability, and extensibility—ties every feature to ROI. Complexity Simplifier: Turns deep tech into plain-speak narratives for execs, engineers, and clients alike. Team-Builder & Culture Carrier: Hires, mentors, and scales “solver” talent; fosters an always-in-beta, high-ownership culture. Strategic Trade-Off Navigator: Makes context-driven calls when speed > polish or robustness > elegance; communicates rationale clearly.<br>Tech Superpowers AI-Native Architect – Reimagines business with modern Tech to deliver platforms, accelerators & real value to clients. Process first mindset and ready to embrace agentic AI to enable process transformation. Full-Stack Platform Thinker – Builds modular, reusable services across data, MLOps, vector DBs, and Google Cloud infra. Distributed-Systems Savant – Crafts resilient, low-coupling architectures that survive burst traffic and node failure. Security & Privacy Guardian – Embeds zero-trust, privacy-by-design, and ethical guardrails into every pipeline. Multi-Agent Orchestrator – Engineers hybrid human-AI workflows, adaptive learning loops, and Agent-to-Agent protocols. Product-Minded Technologist – Balances technical rigor with user impact; ties every release to measurable ROI. Pragmatic Tool Picker – Chooses the simplest tech that compounds scalability; fluent in Python, Tensor Flow/PyTorch, Go. Engineer @ Heart – Writes, reviews, and debugs code daily; proves designs with benchmarks, not slideware. Business-first, tech-second, outcome focused technology leader."<br>Experience & Relevance Scale & Leadership – 15 + years leading high-growth engineering orgs; built teams from 10 → 200 while preserving velocity and culture. Architecture & AI Execution – Led 0→1 and 1→100 deliveries in MLOps, LLM stacks, or large-scale data infra on Google Cloud, Databricks, AWS, Open AI; agentic workflows. Cross-Functional Business Impact – Bridged R&D, product, and GTM to deliver ≥ 30 % ROI improvements; trusted by founders and Fortune-500 execs alike. High-Stakes Decisioning & Influence – Navigated trade-offs in mission-critical, multi-region deployments; converts technical depth into board-level clarity. Pedigree Credentials – Advanced degree (MS/PhD) in CS/AI/Eng; proven industry disruption record; combines MBB-style strategy with a builder’s execution bias.<br>Bonus Points (you will thrive if you have) Org Architect – Designed or scaled a 100 + engineer AI platform org from scratch. Patent Prodigy – Filed/secured ≥ 5 AI or distributed-systems patents. Open-Source Evangelist – Created or maintained widely adopted OSS in MLOps / vector databases. Recognized Tech Authority – Recognised expert (e.g., Google Dev Champion, AWS or Databricks) who optimises cost, latency, and security at hyperscale. Battle-Tested – Has broken production systems, learned, and automated safeguards to prevent repeats. Adoption-Focused – Proven knack for turning tech into sticky user adoption and recurring revenue. Founder Energy – Combines product vision, engineering heart, and ownership gut; bias for rapid prototyping & decision velocity within Searce “Happier” DNA<br>Join the ‘real solvers’ready to futurify? If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><b><i><span><span>Job Summary:</span></span></i></b><br></p><br><p><i><span><span>We are seeking a highly skilled Confluent Kafka Engineer to join our dynamic team. The ideal candidate will be responsible for the development, User Acceptance Testing (UAT), and production support of our Confluent Kafka-based systems. This role requires deep expertise in Kafka architecture, including Confluent Control Center, KSQLDB, Kafka Streams, and Kafka Connect. The engineer will collaborate closely with cross-functional teams to ensure the smooth operation of our data streaming services and provide support across various environments.</span></span></i><br></p><br><p><b><i><span><span>Key Responsibilities:</span></span></i></b><br></p><br><p><b><i><span><span>Development:</span></span></i></b><br></p><br><p><span><span>-</span></span><i><span><span>Design, develop, and implement Kafka-based solutions to meet business requirements, utilizing Confluent Control Center, KSQLDB, Kafka Streams, and Kafka Connect.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Write and maintain high-quality code for Kafka producers, consumers, and stream processing applications.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Develop and manage Kafka connectors for seamless integration with external systems, ensuring data consistency and reliability.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Utilize Kafka Streams for real-time processing of streaming data, transforming and enriching data as it flows through the pipeline.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Employ KSQLDB for stream processing tasks, including real-time analytics and transformations.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Collaborate with data engineers, software developers, and DevOps teams to integrate Kafka solutions with existing systems.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Ensure all Kafka-based solutions are scalable, secure, and optimized for performance.</span></span></i><br></p><br><p><b><i><span><span>User Acceptance Testing (UAT):</span></span></i></b><br></p><br><p><span><span>-</span></span><i><span><span>Develop and execute UAT plans to validate Kafka solutions, including components such as Kafka Streams, KSQLDB, and Kafka Connect, before deployment to production.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Work closely with QA teams to identify and resolve defects during the UAT phase.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Ensure all UAT activities comply with the organization’s standards and best practices.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Provide detailed reports on UAT outcomes and work with developers to implement necessary fixes.</span></span></i><br></p><br><p><b><i><span><span>Production Support:</span></span></i></b><br></p><br><p><span><span>-</span></span><i><span><span>Monitor and maintain Kafka clusters, including components like Confluent Control Center, to ensure high availability and reliability of data streaming services.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Troubleshoot and resolve issues related to Kafka performance, latency, and data integrity, including issues specific to Kafka Streams, KSQLDB, and Kafka Connect.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Perform routine maintenance tasks such as patching, upgrades, and backups for Kafka clusters and associated components.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Implement monitoring solutions to proactively identify and mitigate potential production issues, leveraging Confluent Control Center for comprehensive cluster visibility.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Provide 24/7 support for production systems, including participation in on-call rotation.</span></span></i><br></p><br><br><span>Requirements</span><p><b><i><span><span>Qualifications:</span></span></i></b><br></p><br><p><b><i><span><span>Education:</span></span></i></b><i><span><span> Bachelor’s degree in Computer Science, Information Technology, or a related field.</span></span></i><br></p><br><p><b><i><span><span>Experience: </span></span></i></b><br></p><br><p><span><span>-</span></span><i><span><span>3+ years of hands-on experience with Apache Kafka and Confluent Kafka in a production environment, including experience with Confluent Control Center, KSQLDB, Kafka Streams, and Kafka Connect.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Proven experience in Kafka development, including producer and consumer API, stream processing, and connector development.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Experience with Kafka cluster management, including setup, configuration, monitoring, and troubleshooting.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Familiarity with distributed systems, microservices architecture, and event-driven design patterns.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Experience with cloud platforms (e.g., AWS, Azure) and containerization (Kubernetes) is a plus.</span></span></i><br></p><br><p><b><i><span><span>Technical Skills:</span></span></i></b><br></p><br><p><span><span>-</span></span><i><span><span>Proficiency in programming languages such as Java, Python, or Scala.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Strong knowledge of Kafka internals, including brokers, zookeepers, topics, partitions, and offsets.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Experience with monitoring tools (e.g., Prometheus, Grafana) and logging frameworks (e.g., Log4j, ELK Stack).</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Proficiency in using Confluent Control Center for monitoring, managing, and optimizing Kafka clusters.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Expertise in Kafka Streams for building scalable, fault-tolerant stream processing applications.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Experience with KSQLDB for real-time processing and analytics on Kafka topics.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Strong understanding of Kafka Connect for integrating Kafka with external data sources and sinks.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Understanding of networking, security, and compliance aspects related to Kafka.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Familiarity with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI).</span></span></i><br></p><br><p><b><i><span><span>Soft Skills:</span></span></i></b><br></p><br><p><span><span>-</span></span><i><span><span>Strong analytical and problem-solving abilities.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Excellent communication and teamwork skills.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Ability to work independently and manage multiple tasks effectively.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>A proactive approach to learning new technologies and improving existing processes.</span></span></i><br></p><br><br> </div>

The Mubadala Arabian Center for Climate and Environmental Sciences (Mubadala ACCESS) at New York University Abu Dhabi (NYUAD) invites applications for a Junior Research Scientist to support a multidisciplinary research program investigating the environmental and ecological drivers of productive fishing grounds in the United Arab Emirates.<br><br>Working alongside researchers from NYUAD and Emirates Nature–WWF, the successful candidate will contribute to marine habitat mapping, spatial analysis, and environmental data integration to support fisheries management and marine conservation.<br><br>The Junior Research Scientist will support the acquisition, processing, and analysis of marine spatial and environmental datasets collected throughout the project. Working within a multidisciplinary team, the successful candidate will assist in developing habitat maps, managing spatial databases, integrating environmental monitoring data, and producing analytical outputs that inform conservation planning and fisheries management.<br><br>The role combines office-based spatial analysis with opportunities to participate in field surveys, environmental monitoring, and marine habitat assessments across the UAE.<br><br>The successful candidate will assist with processing GIS, bathymetric, habitat, and environmental datasets, maintaining project databases, and supporting the development of habitat maps and spatial products. Responsibilities include assisting with side-scan sonar and underwater imagery processing, data quality assurance, statistical analyses, and preparation of maps, figures, reports, and scientific publications.<br><br>The Junior Research Scientist will also participate in field campaigns to collect environmental and spatial reference data and contribute to project reporting and stakeholder deliverables.<br><br>Applicants must hold a Bachelor's or Master's degree in Marine Science, Geography, GIS, Oceanography, Environmental Science, Spatial Ecology, or a closely related discipline. Master’s degree and less than 5 years of research experience in the relevant field, or a Bachelor's degree with any level of experience.<br><br>The ideal candidate will have experience using GIS software such as Arc GIS or QGIS, managing scientific datasets, and conducting quantitative analyses using software such as R or Python. Experience with marine habitat mapping, environmental monitoring data, side-scan sonar, or remote sensing is desirable. Candidates should possess strong analytical and organizational skills and be comfortable working both independently and collaboratively within a multidisciplinary research team.<br><br>To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree/ copy of highest degree, and a research statement, all in PDF format. Two contact references letters will be requested from shortlisted candidates.<br><br>Applications will be accepted immediately and candidates will be considered until the position is filled. If you have any questions, please reach out to Kelly Bradham email: kelly.bradham@nyu.edu<br><br>About NYU Abu Dhabi<br><br>https://nyuad.nyu.edu/en/<br><br>NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.<br><br>NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.<br><br>Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.<br><br>Working for NYUAD<br><br>At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority.<br><br>Visit our website for more information on benefits for you and your dependents.<br><br>NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.<br><br>Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.<br><br>Join NYU Abu Dhabi, an exceptional place for exceptional people.<br><br>NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission.<br><br>@WorkAtNYUAD<br><br>Equal Employment Opportunity Statement<br><br>For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr<br><br>NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.<br><br>Sustainability Statement <br><br>NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability

The Mubadala Arabian Center for Climate and Environmental Sciences (Mubadala ACCESS) at New York University Abu Dhabi (NYUAD) invites applications for a Post-Doctoral Associate to join an exciting multidisciplinary research program investigating the environmental and ecological drivers of productive fishing grounds in the United Arab Emirates.<br><br>Working in collaboration with Emirates Nature–WWF and government partners, the successful candidate will lead the spatial ecology, habitat mapping, and environmental data integration components of a major applied research initiative that will directly inform fisheries management, marine conservation, and habitat restoration across the UAE.<br><br>The successful candidate will lead the spatial ecology and habitat mapping components of the project by integrating environmental monitoring data, fisheries information, habitat datasets, and field observations to identify the ecological drivers of productive fishing grounds. Responsibilities include developing habitat characterization workflows using combinations of bathymetric datasets, side-scan sonar, remotely sensed imagery, GIS, and other spatial datasets to produce habitat maps, ecological indicators, habitat suitability assessments, and spatial decision-support products.<br><br>The Post-Doctoral Associate will collaborate closely with project staff to design field campaigns, develop sampling strategies, participate in marine field surveys, and ensure the effective integration of environmental, biological, and spatial datasets. The successful candidate will establish robust data management and quality assurance workflows while preparing scientific manuscripts, technical reports, maps, visualizations, and presentations for project partners and government stakeholders.<br><br>Additional responsibilities include engaging with Emirates Nature–WWF, government agencies, and other stakeholders to communicate research findings and support the translation of science into management and policy outcomes. The successful candidate will also contribute to the broader research activities of Mubadala ACCESS through mentoring junior researchers and students, participating in proposal development, and contributing to peer-reviewed publications.<br><br>Applicants must hold a PhD in Marine Science, Marine Ecology, Oceanography, Environmental Science, Geography, Spatial Ecology, or a closely related discipline. With no more than five years post receipt of PhD.<br><br>The ideal candidate will have demonstrated experience conducting independent marine spatial analyses and developing habitat maps using marine datasets. Applicants should possess strong analytical skills and experience with spatial modelling and statistical software such as R, Python, or MATLAB. Experience using GIS, side-scan sonar, multibeam bathymetry, underwater imagery, remote sensing, and other marine habitat mapping technologies is highly desirable.<br><br>Candidates should have experience integrating biological, environmental, and spatial datasets and possess excellent written and verbal communication skills with a strong publication record in marine ecology, habitat mapping, fisheries ecology, or environmental science. Experience conducting marine field surveys, including SCUBA certification, and familiarity with environmental monitoring equipment such as CTDs, multiparameter sondes, or environmental sensor networks are required.<br><br>To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree/ copy of highest degree, and a research statement, all in PDF format. Two contact references letters will be requested from shortlisted candidates.<br><br>Applications will be accepted immediately and candidates will be considered until the position is filled. If you have any questions, please reach out to Kelly Bradham email: kelly.bradham@nyu.edu<br><br>About NYU Abu Dhabi<br><br>https://nyuad.nyu.edu/en/<br><br>NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.<br><br>NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.<br><br>Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.<br><br>Working for NYUAD<br><br>At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority.<br><br>Visit our website for more information on benefits for you and your dependents.<br><br>NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.<br><br>Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.<br><br> Join NYU Abu Dhabi, an exceptional place for exceptional people.<br><br>NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission.<br><br>@WorkAtNYUAD<br><br>Equal Employment Opportunity Statement<br><br>For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr<br><br>NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.<br><br>Sustainability Statement <br><br>NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Market <br> Advanced Manufacturing <br> <br> <br> <br> <br> <br> <p>At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good.</p><br><br> <br> <br> <br> <br> Your impact <br> <p>Overview:&nbsp;</p><br><br><p><span>The intern will support application development and Power BI dashboard delivery across internal business needs.&nbsp;</span></p><br><br><br><p><span>Key responsibilities will include:&nbsp;</span></p><br><br><ul><li><span>developing and testing applications or workflow tools, building and maintaining Power BI dashboards,&nbsp;</span></li><li><span>preparing and validating datasets, documenting solutions, and supporting automation or AI/ML-enabled use cases where relevant. The role will involve working closely with team to turn data and process requirements into practical digital solutions.</span></li></ul><br> <br> <br> <br> <br> Here's what you'll need <br> <p>Requirements:&nbsp;</p><br><br><ul><li><span>Computer Science graduate or final-year student, or equivalent degree in Software Engineering, Data Science, Information Systems, or related technology discipline</span></li><li><span>Hands-on exposure to real business application development, Power BI dashboards, automation, and AI/ML-enabled use cases. The role offers the chance to work with experienced professionals, develop both technical and business skills, contribute to meaningful digital solutions, and potentially be considered for a full-time role based on performance and business need.</span></li><li><span>Growth for the successful candidate would mean progressing from task-based technical support to independently owning small application or dashboard workstreams.</span></li><li><span>A successful internship may also create an opportunity for the candidate to be considered for a full-time role, subject to business need, performance, and availability of suitable opportunities.&nbsp;</span></li><li><span>Relevant experience includes application development using tools or languages such as React, Python, JavaScript. Experience with Power BI, DAX, Power Query, SQL, Excel, data modelling, APIs, and basic database concepts would be beneficial. Exposure to AI/ML concepts, automation, data analytics, Git/version control, and cloud platforms such as Azure would be an advantage.</span></li></ul> <br> <br> <br> <br> From our inclusive employee networks to our positive mental health champions – we’re committed to driving a culture of caring where you can be you. Joining Jacobs not only connects you locally but globally - and together, our diverse perspectives and unique backgrounds power our collective strength. We collaborate and share! By supporting one another, we all succeed.<br> <br> With safety and flexibility always top of mind, we’ve gone beyond traditional ways of working so you have the support, means and space to maximize your potential. You’ll uncover flexible working arrangements, benefits and opportunities to do good too – from participating in our global giving and volunteering program, to exploring new and inventive ways to help our clients make the world a better place.<br> <br> No matter what drives you, you’ll discover how you can cultivate, nurture and achieve your goals – all at a single global company.<br> <br> <br> <br> <br> <p>We value collaboration and believe that in-person interactions are crucial for both our culture and client delivery. We empower employees with our hybrid working policy, allowing them to split their work week between Jacobs offices/projects and remote locations enabling them to deliver their best work.</p><br><br> <br> <br> <br> <p>Onsite employees are expected to attend a Jacobs Workplace on a full-time basis, as required by the nature of their role.</p><br><br> <br> <br> <br> <p>Your application experience is important to us, and we’re keen to adapt to make every interaction even better. If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team via Careers Support.</p><br><br> <br> <br> <br> <br> <br> Locations <br> CityStateCountry<br>Bur DubaiAll AE RegionsUnited Arab Emirates<br> <br> <br> <br> <br> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems.<br> Based in the UAE, we partner with organizations across diverse sectors—with a deep-rooted expertise in Financial Services and Banking—to bridge the gap between complex data and actionable business strategy.<br> At DeepLight, we don't believe in "off-the-shelf" fixes.<br> We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure.<br> From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.<br> As a Senior AI Engineer, you will drive the design, development, and deployment of production-grade Artificial Intelligence and Generative AI solutions.<br> This role sits at the intersection of cutting-edge research and enterprise-scale application engineering, specifically focused on delivering high-impact, secure, and performant intelligent systems for premier clients in regulated spaces like financial services and banking.<br> You will act as a technical pillar within the AI squad—collaborating with Data Architects, UI Engineers, and delivery leads to transform complex business requirements into robust, production-ready AI agents and pipelines.<br> This role demands exceptional technical mastery, a deep commitment to architectural integrity, and a proactive approach to solving ambiguous data challenges.<br> Key ResponsibilitiesGenerative &amp; Agentic AI Engineering Cognitive Systems Architecture: Design, build, and optimize enterprise-grade Generative AI applications and multi-agent frameworks capable of complex reasoning and autonomous task execution.<br> Knowledge Retrieval Systems: Architect and maintain scalable Retrieval-Augmented Generation (RAG) pipelines utilizing advanced vector databases and semantic search strategies.<br> Advanced Prompt Engineering: Develop and systematically evaluate advanced prompting techniques, guardrails, and context-window management strategies to ensure predictable, secure model behavior.<br> Deep Learning &amp; Model Optimization Core Modeling &amp; Execution: Train, fine-tune, and deploy deep learning models across both Natural Language Processing (NLP) and Computer Vision (CV) domains.<br> Open-Source &amp; Cloud Integration: Evaluate and deploy both proprietary cloud models (e.<br>g., GPT, Claude) and open-source foundation models, balancing performance, latency, and cost.<br> Edge &amp; Inference Optimization: Convert and optimize models for efficient production deployment and runtime inference using formats like ONNX.<br> Data &amp; MLOps Infrastructure Data Processing Pipelines: Architect and refine complex, highly performant data preprocessing and feature engineering pipelines for unstructured and structured data.<br> Database Governance: Design and optimize high-throughput queries across relational SQL databases and specialized NoSQL/Vector data stores.<br> Rigorous Evaluation: Establish robust, data-driven model evaluation frameworks to continuously benchmark accuracy, drift, latency, and safety in production.<br> As an AI consultancy, our greatest asset is the expertise of our people.<br> While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.<br> We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.<br> You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders.<br> If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.<br> The benefits you'll enjoy as part of this role include: Competitive salary Comprehensive personal health insurance Visa Sponsorship for the successful individual Professional development and certification support Subscription reimbursement relating to your role Opportunity to work on cutting-edge AI projects Monthly Employee Incentive program Career advancement opportunities in a rapidly growing AI company This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation.<br> The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.<br> At DeepLight AI, we recognise that diversity drives innovation.<br> We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.<br> Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.<br> If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know.<br> This information will be kept strictly confidential and will not impact hiring decisions.<br> We need you to have: A proven track record of designing, evaluating, and operating AI/ML models in high-availability enterprise or production environments.<br> Demonstrated professional or research experience spanning both Natural Language Processing (NLP) and Computer Vision (CV).<br> Hands-on experience leveraging enterprise cloud AI infrastructures (such as Azure AI Studio or AWS Bedrock) to deploy foundation models.<br> AI, Modeling &amp; Frameworks Deep conceptual and practical understanding of Large Language Models (LLMs), agentic workflows, function calling, and embedding models.<br> Expert proficiency in PyTorch and TensorFlow for building, training, and troubleshooting deep neural networks.<br> A practical understanding of model compilation, quantization, and deployment optimization via ONNX runtime.<br> High proficiency in configuring and querying Vector Databases (e.<br>g., Azure DocumentDB, Elasticsearch, Faiss) alongside extensive knowledge of enterprise SQL and NoSQL architectures.<br> Software Engineering &amp; Core Tools Perfect-tier coding skills in Python, with a command of asynchronous programming, design patterns, and clean, modular code architecture.<br> Advanced capabilities in processing massive datasets utilizing standard data ecosystems (e.<br>g., Pandas, NumPy, Polars, or PySpark) It would also be great if you had: An MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a highly related quantitative field.<br> Prior experience engineering AI solutions within banking, fintech, or highly regulated corporate environments (e.<br>g., familiarity with data privacy, compliance, and secure financial data models).<br> Familiarity with framework libraries such as LangChain, LlamaIndex, or AutoGen for agentic workflow construction.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company:MarshDescription:<p>Marsh is the world’s leading insurance broker and risk advisor. We protect and promote possibility—helping clients dream bigger, reach further, and plan for the opportunities ahead. We bring solutions that help our clients manage risk, grow, and succeed.</p><br>The Opportunity<p>Marsh is seeking a<b>Summer Intern (AI, Data Science)</b>to join a fast-paced, innovation-focused team working on real business challenges across a global organization. This internship offers hands-on exposure to AI products and practical data science initiatives, with opportunities to build prototypes, support pilots, and help enable colleagues through training and materials.</p><br>What You Can Expect<ul><li>Hands-on involvement in enhancing and transforming processes and business operations within the<b>largest insurance broker in the world</b>.</li><li>An open work culture with a strong emphasis on<b>innovation, collaboration, and solving business problems</b>.</li><li>Exposure to international businesses and collaboration with colleagues across geographies.</li><li>An energetic, entrepreneurial team environment with experience across<b>data science, visualization, and descriptive analytics</b>.</li></ul>Key Responsibilities (What We Will Count on You For)<ul><li>Demonstrate strong<b>problem-solving</b>capability by understanding business requirements and exploring multiple solution approaches to deliver the desired outcome.</li><li>Gain expertise in<b>Marsh AI products</b>and support adoption by:<ul><li>Delivering trainings to colleagues</li><li>Customizing tools and workflows using<b>LLM-based solutions</b>where applicable</li></ul></li><li>Develop<b>prototypes, proof-of-concepts, and pilot programs</b>for high-priority opportunities.</li><li>Develop and deliver engaging<b>short training sessions</b>on AI fundamentals tailored to different audiences.</li><li>Create accessible training materials, including<b>presentations, videos, guides, and reference documents</b>.</li><li>Provide regular reporting on<b>project status, deliverables, and stakeholder communications</b>.</li><li>Support<b>pilot implementations</b>of selected AI solutions, monitoring progress and gathering feedback.</li><li>Participate in problem-solving sessions to help remove obstacles and address challenges as they arise.</li><li>Maintain a high level of<b>attention to detail</b>in deliverables and documentation.</li></ul>What You Need to Have (Required)<ul><li>Familiarity with<b>AI / machine learning concepts and applications</b>.</li><li>Basic data analysis experience and comfort working with<b>Excel (or similar analytical tools)</b>.</li><li>Experience with<b>business intelligence and/or data visualization tools</b>.</li><li>Intermediate capability in building tools in<b>Python</b>, leveraging available AI models where appropriate.</li><li>Proficiency in<b>MS Office</b>(Excel, PowerPoint, Word).</li><li>Strong communication skills; an outgoing, collaborative personality with a willingness to learn and contribute.</li></ul>Preferred Qualifications<ul><li>Currently enrolled in or recently completed an<b>undergraduate or graduate/master’s degree</b>in:<ul><li>Computer Science, Business, Engineering, Data Science, Information Systems, Business Analytics, or a related field.</li></ul></li></ul>Why Marsh<p>You’ll gain practical experience applying AI and data science to real business challenges, work alongside knowledgeable colleagues across regions, and build skills in solution development, stakeholder collaboration, and enablement through training—while contributing to meaningful innovation initiatives.</p><br><p><b>Interested?</b>Apply now to be considered for the Summer Intern (AI, Data Science) role at Marsh.</p><br>Marsh Risk is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information about Marsh Risk, visit marsh.com, or follow us on LinkedIn and X.Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, skin color, or any other characteristic protected by applicable law.Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person. </div>

<strong>This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Analyst based in United Arab Emirates.<br><br></strong>This role offers the opportunity to become an independent analytical voice within a product team focused on matching, relationships, messaging, and AI-assisted user experiences.<br><br>You’ll work closely with product managers and senior leadership to determine whether product initiatives are delivering meaningful results and where investment can create the greatest impact.<br><br>Rather than simply building dashboards, you’ll design rigorous experiments, challenge assumptions, investigate anomalies, and turn complex data into actionable product decisions.<br><br>You’ll help establish a coherent measurement framework across acquisition, retention, reactivation, churn, and other key business drivers.<br><br>The position combines advanced product analytics, statistical experimentation, business understanding, and strong product thinking.<br><br>You’ll have a high degree of autonomy, with the opportunity to identify growth opportunities, develop hypotheses, and follow them through to measurable outcomes.<br><br>This is a fully remote environment suited to an analytical professional who enjoys ownership, critical thinking, and using data to influence product direction.<br><br>Accountabilities<br><br><ul><li>Design and run product experiments end to end, including hypothesis development, test duration, sample-size requirements, feasibility assessment, A/B testing, statistical significance, and interpretation of results.</li><li>Unify product metrics across multiple product areas into a coherent measurement framework, connecting the core company metric to acquisition, retention, reactivation, churn, and other key drivers.</li><li>Act as an independent analytical voice, ensuring product decisions are grounded in reliable evidence rather than assumptions or intuition.</li><li>Identify high-leverage growth opportunities where relatively small investments or changes can generate meaningful improvements in key metrics.</li><li>Connect product metrics to business goals, estimates, and costs, monitoring performance and identifying potential deviations from targets early.</li><li>Generate, prioritize, and validate product hypotheses in close collaboration with product managers.</li><li>Investigate anomalies and unexpected metric movements, identify root causes, and highlight potential product issues before they become more significant.</li><li>Assess product initiatives against broader business objectives and provide clear, data-driven perspectives on priorities and expected impact.</li><li>Continuously improve analytical processes, methodologies, and ways of working by identifying opportunities for greater rigor and efficiency.<br><br></li></ul><strong>Requirements<br><br></strong><ul><li>4+ years of professional experience in product analytics, ideally within a product environment with large or complex data volumes.</li><li>Bachelor’s degree or equivalent academic background in mathematics, engineering, or a related technical discipline.</li><li>Strong practical knowledge of mathematical statistics and probability theory.</li><li>Proven hands-on experience designing and running A/B tests, including test sizing, statistical significance, and results interpretation.</li><li>Strong proficiency in SQL and Python, with experience in data extraction, processing, analysis, and visualization; familiarity with Superset is a plus.</li><li>Deep understanding of product and marketing metrics such as LTV, CPA, retention, and conversion rate, including how these metrics connect to broader business performance.</li><li>Strong product thinking and the ability to interpret user behavior behind quantitative metrics.</li><li>High autonomy and ownership, with the ability to independently identify growth opportunities and follow initiatives through to measurable impact.</li><li>Strong critical-thinking skills, including the ability to challenge assumptions, validate data, and cross-check analytical conclusions.</li><li>Excellent communication skills, with the ability to explain complex analytical findings clearly and structure recommendations around measurable impact.</li><li>Experience with social products, dating, gaming, or two-sided marketplaces is an advantage.</li><li>Hands-on experience with recommender systems is a plus.</li><li>Previous experience working with data-rich, high-volume products is desirable.<br><br></li></ul><strong>Benefits<br><br></strong><ul><li>Fully remote, full-time opportunity.</li><li>28 calendar days of vacation per year.</li><li>7 additional wellness days per year for personal, household, or recovery needs.</li><li>Bonuses of up to $5,000 for successful employee referrals.</li><li>50% reimbursement for professional training, international conferences, and professional meetings.</li><li>Corporate discounts for English-language lessons.</li><li>Health support, including up to $1,000 gross per year toward self-purchased health insurance or eligible medical expenses for the employee and close relatives when corporate medical insurance is not available.</li><li>Workplace support, including equipment and workspace provision at eligible offices or co-working locations.</li><li>Reimbursement of workplace costs of up to $1,000 gross once every three years for eligible remote employees, which can be used for co-working, home-office equipment, internet, and related workspace expenses.</li><li>Internal gamified recognition program offering rewards that can be exchanged for merchandise, team-building activities, massage certificates, and other benefits.</li><li>Initial compensation level or salary range shared with candidates during the recruitment process and before employment begins.<br><br></li></ul><strong>How Jobgether Works<br><br></strong>We use an <strong>AI-powered matching process</strong> to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br><strong>Data Privacy Notice:</strong> By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.<br><br>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>JOB PURPOSE:&nbsp;</strong></p><br><p><strong>Compliance Systems Governance and Model Validation Unit</strong></p><br><p>The unit is responsible for managing the Group Compliance system monitoring and validation programme (as the second line of defence) to provide assurance that the Group is operating in line with regulatory requirements and internal compliance policies and procedures. This entails planning, development and implementation of a risk-based Group Compliance system Validation plan, working with other Compliance units to undertake reviews and issuing reports that provide assurance as well as highlighting deficiencies so that they can be corrected. The function also aids in the development of compliance reports to support the EXCO, Compliance Operating Committee, GCC and MRMC.</p><br><p><span>The Sanctions Model Validation Specialist will be responsible for validating and ensuring the accuracy, reliability, and performance of sanctions screening models. This role involves rigorous testing, analysis, and documentation to ensure compliance with regulatory requirements and internal standards.</span></p><br><p><strong>KEY ACCOUNTABILITIES:&nbsp;</strong></p><br><p><strong><u>Job Specific Accountabilities</u></strong></p><br><p><strong>Policies, Systems, Process &amp; Procedures</strong></p><br><ul><li><span><span>Follow all relevant departmental policies, processes, standard operating procedures, and instructions so that the work is carried out in a controlled and consistent manner.</span></span></li></ul><p><strong>Key Responsibilities:</strong></p><br><ul><li><span><span>Conduct comprehensive validation of sanctions screening models, including data integrity, model performance, and output accuracy.</span></span></li><li><span><span>Develop and implement validation methodologies and frameworks in line with industry best practices and regulatory guidelines.</span></span></li><li><span><span>Perform quantitative and qualitative analysis to assess model risk and performance.</span></span></li><li><span><span>Collaborate with model developers, compliance teams, and other stakeholders to address validation findings and improve model robustness.</span></span></li><li><span><span>Prepare detailed validation reports and documentation for internal and regulatory review.</span></span></li><li><span><span>Stay updated with the latest regulatory requirements, industry trends, and advancements in sanctions screening technologies.</span></span></li><li><span><span>Provide recommendations for model improvements and enhancements based on validation results.</span></span></li></ul><p><strong>Reporting</strong></p><br><ul><li><span><span>Collaborate with Compliance SMEs,&nbsp;work closely with Subject Matter Experts (SMEs) in Compliance to develop Management Information (MI) dashboards related to compliance systems validation.</span></span></li><li><span><span>Create periodic review plans and regularly report the status of these reviews to senior management.</span></span></li><li><span><span>Track and ensure timely closure of any pending issues identified in previous reviews.</span></span></li></ul><p>Contribute to the development of the annual review plan in accordance with regulatory requirements, internal audit (GIA) guidelines, and any ad hoc requirements.&nbsp;</p><br><p><strong>QUALIFICATIONS &amp; EXPERIENCE:&nbsp;</strong></p><br><p><strong>Minimum Qualification</strong></p><br><ul><li><span><span>Bachelor’s or master’s degree in finance, Economics, Statistics, Mathematics, Computer Science, or a related field.</span></span></li><li><span><span>Proven experience in model validation, risk management, or a similar role within the financial services industry.</span></span></li><li><span><span>In-depth understanding of sanctions regulations and compliance standards, including OFAC, EU sanctions, and other international sanctions regimes. Understanding of CBUAE regulations is desirable.</span></span></li></ul><p><strong>Minimum Experience</strong></p><br><ul><li><span><span>7 to 10 years of experience with financial institutions, regulators, and/or professional services firms, focusing on Financial Crime Technology and Analytics work streams/services.</span></span></li><li><span><span>Strong understanding of sanctions screening processes, regulatory requirements, and compliance standards.</span></span></li><li><span><span>Proficiency in data modeling, and programming languages such as Java/Python.</span></span></li><li><span><span>Good knowledge of Fircosoft products such as Firco Continuity, Firco Trust, and Firco Screen and Keep (FSK) along with good understanding of Firco rules, lists, and filter settings.</span></span></li><li><span><span>Experience with Firco backend components and a good understanding of various component rules (decision reapplication, pairing, stripping, etc.).</span></span></li><li><span><span>Good knowledge in data governance framework, including data quality, data lineage, and data stewardship etc.</span></span></li><li><span><span>Experience in creating SQL queries and good knowledge in database management concepts.</span></span></li><li><span><span>Understanding of data warehouse, master data management, and data lake concepts is added advantage.</span></span></li><li><span><span>Excellent understanding of IT service management (ITSM) frameworks such as ITIL and other system performance monitoring controls.</span></span></li><li><span><span>Good understanding of Disaster Recovery (DR) and Business Continuity Planning (BCP) concepts to validate system resilience and high availability.</span></span></li><li><span><span>Ability to conduct comprehensive quantitative and qualitative analysis to assess model performance and risk. Additionally, proficiency in back testing, stress testing, and sensitivity analysis to evaluate model robustness.</span></span></li><li><span><span>Ability to work independently and as part of a team, collaborating with model developers, compliance teams, and other stakeholders.</span></span></li><li><span><span>Strong technical report writing skills for preparing detailed validation reports and documentation.</span></span></li><li><span><span>Attention to detail and a commitment to maintaining high standards of accuracy and integrity.</span></span></li><li><span><span>Certification in ACAMS, CGSS, ICA, etc., is an added advantage.&nbsp;</span></span></li></ul><br> <b>About Us:</b><br> First Abu Dhabi Bank (FAB) is the largest bank in the UAE and one of the world's largest and safest financial institutions. We offer a comprehensive range of personal and private banking services, including credit cards, Islamic banking, investments, loans, and mortgages. Our commitment to excellence and innovation drives us to provide top-tier financial solutions to our clients.<br> <b>Life at FAB:</b><br> Working at FAB means being part of a team of talented and passionate individuals with a shared vision to support the ambitions of our stakeholders to "Grow Stronger." We embrace the needs of our customers across the globe with a sense of responsibility and confidence driven by extensive expertise that can only be delivered by an ambitious world-class organization<br> <b>Career Development:</b><br> FAB offers unique career choices, a chance to innovate, craft solutions for the future, and express yourself in a performance-based culture that will unleash the best in you. Whether you are an experienced professional or just starting your career, FAB provides a range of learning and development initiatives to support all employees through training and skill development.<br> <b>Our Values:</b><br> At FAB, we place our customers at the core of our activities, live our values each day in every way, celebrate achievements, and empower each other to deliver leading solutions. We have structured plans for the recruitment and career progression of Emirati talent to enable them to make a mark in the financial and banking sector both regionally and globaly that rewards your hard work and dedication.<br> Join our team and be part of a journey to shape the future of banking.<br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Domain Consultant Idira - Secrets <span> Dubai, United Arab Emirates </span> <span>Sales</span> <span><span>Ref ID:</span> JR-022303</span> <br> Apply <p>Current Employees, apply here</p><br> <br> <p><b>Our Mission</b></p><br><p>At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.</p><br><p><b>Who We Are</b></p><br><p>In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!</p><br>We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.<p><b>Job Summary</b></p><br><p>We are seeking a passionate, intellectually curious, and technically skilled Domain Consultant/Solutions Engineer to join our growing DevOps Domain Consulting team. In this role, you will be the trusted technical advisor and subject matter expert to our customers, with a specific focus on Application-Level and Agentic AI secrets management.</p><br><br><p>This role involves working closely with the sales team, product management, and engineering teams to better position, demonstrate, and evaluate Idira solutions to customers. Your mission is to help customers secure machine identities and secrets across their DevOps pipelines, cloud-native applications, AI Agents and hybrid infrastructure. Idira Domain Consultants work with their business unit sales counterparts and are responsible for establishing the value of Idira solutions to prospective and current customers through demos, presentations, meetings, and Proof of Concepts (POCs). The Domain Consultant helps create successful and satisfied customers by building relationships and technical trust with customers and is seen internally and externally, as a technical expert on Idira products in their category, as well as an industry expert in identity and secrets management.</p><br><br><p><b>Responsibilities</b></p><br><ul><li>Build and deliver product demonstrations and sales presentations to create excitement around Idira technology.</li><li>Conduct POC evaluations of Idira products with prospective customers. Utilize your sales experience to position Idira’s value and differentiators to acquire the technical win.</li><li>Act as the technical expert and trusted advisor for machine identity security solutions during the sales cycle.</li><li>Partner with Account Executives to articulate the value of Idira’s solutions to technical and business stakeholders.</li><li>Conduct technical discovery sessions to understand customer environments,</li><li>challenges, and security goals.</li><li>Translate customer requirements into solution architecture and deployment strategies. Collaborate with product management and R&amp;D to influence product direction and resolve customer issues.</li><li>Stay up to date on industry trends and emerging DevOps tools, CI/CD, Agentic AI frameworks, and best practices.</li><li>Assist in marketing efforts to generate pipeline and increase leads.</li><li>Deliver technical workshops, webinars, and training sessions to clients and internal teams.</li><li>Travel as needed to meet customers, attend conferences, or conduct on-site workshops.</li></ul><br><p><b>Qualifications </b></p><br><ul><li>2+ years in a customer-facing pre-sales or solutions engineering role, ideally in the cybersecurity and/or DevOps tooling space.</li><li>Strong understanding of DevOps practices and tools (CI/CD pipelines, containers, Kubernetes, Terraform, Jenkins, etc.).</li><li>Understanding of cryptographic security technologies such as SSL/TLS, SSH, PKI, and HSMs</li><li>Experience working with Agentic AI frameworks, large language models (LLMs), or autonomous AI workflows to optimize engineering and automation processes.</li><li>Development experience in languages such as Python, Go, Java, or Node.js.</li><li>Scripting knowledge using tools such as PowerShell, or Bash. Ability to work with REST APIs.</li><li>Deep curiosity about the DevOps landscape and a desire to stay ahead of industry trends.</li><li>Familiarity with AI orchestration, prompt engineering, or integrating AI agents into development lifecycles.</li><li>Excellent communication, presentation, and interpersonal skills.</li><li>Experience managing and executing detailed technical responses for RFIs and RFPs.</li><li>Ability to distill complex technical concepts into business value propositions.</li><li>Full professional proficiency in English is essential; proficiency in Arabic is a strong plus.</li></ul><br><p><b>Preferred:</b></p><br><ul><li>Experience with cloud platforms (AWS, Azure, GCP) and their secrets management systems.</li><li>Operational experience with PKI deployment and lifecycle management.</li><li>Prior experience with identity and access management (IAM), privileged access management (PAM), or secrets management solutions.</li><li>Knowledge of Zero Trust security models and security compliance frameworks.</li><li>Hands-on experience securing or deploying autonomous AI agents, including managing API keys, permissions, or secrets for Agentic AI workflows.</li><li>Relevant certifications (e.g., Kubernetes, AWS, CyberArk Guardian or Defender) are a plus.</li><li>K8s certifications such as CKA or CKS and/or Cloud Architect Certifications</li><li>(AWS/Azure/GCP)</li></ul><p><b>Our Commitment </b></p><br><p>We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.</p><br><p>We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at <span><u>accommodations@paloaltonetworks.com</u></span>.</p><br><p>Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.</p><br><p>All your information will be kept confidential according to EEO guidelines.</p><br>Is role eligible for Immigration Sponsorship?: Yes<br> Apply <p>Current Employees, apply here</p><br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Domain Consultant <span> Dubai, United Arab Emirates<br> Ajman, United Arab Emirates </span> <span>Sales</span> <span><span>Ref ID:</span> JR-020117</span> <br> Apply <p>Current Employees, apply here</p><br> <br> <p><b>Our Mission</b></p><br><p>At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.</p><br><p><b>Who We Are</b></p><br><p>In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!</p><br>We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.<p><b>Job Summary</b></p><br><p><b><span>Your Career</span></b></p><br><p><span>As a Domain Consultant for the Cortex business you will be the expert for our portfolio, a Next-Gen AI-powered security operations platform. You will play a key role in defining technical solutions that secure a customer’s key business imperatives. You evangelize our industry leading solutions in Security Intelligence and Automation, XDR, Attack Surface Management, SOAR and Incident Response that establish Palo Alto Networks as a customer’s cybersecurity partner of choice.</span><br></p><br><p><b><span>Your Impact</span></b></p><br><ul><li><p><span>Collaborate with account teams to recommend and develop customer solutions within your assigned specialization area</span></p><br></li><li><p><span>Present to customers as our expert at all levels in the customer hierarchy, from practitioner to senior leadership</span></p><br></li><li><p><span>As the main technical point of contact for Cortex, you will assist and collaborate to respond effectively to RFIs/RFPs.</span></p><br></li><li><p><span>Lead and support customer demonstrations that showcase our unique value proposition</span></p><br></li><li><p><span>Scope and lead Proof of Value (PoV) projects for prospective customers and partners based on best practices to ensure technical win in your assigned opportunities</span></p><br></li><li><p><span>Drive high technical validation and PoV win rates within your assigned specialization area</span></p><br></li><li><p><span>Responsible for discussing and highlighting product alignment with customer requirements and differentiation</span></p><br></li><li><p><span>Architect solutions that will help our customers strengthen and simplify their security posture</span></p><br></li><li><p><span>Document High-Level Design and Key Use Cases to ensure proper implementation and value realization of Palo Alto Networks Solutions</span></p><br></li><li><p><span>Help our customers build and develop further their services around Cortex solutions</span></p><br></li><li><p><span>Lead conversations about industry trends and emerging changes to the security landscape&nbsp;</span></p><br></li><li><p><span>Discuss, with credibility, competitive offers in the marketplace and position ours as the best alternative</span></p><br></li><li><p><span>Position Palo Alto Networks or Partner delivered services as appropriate to ensure proper implementation and value realization of Palo Alto Networks solutions</span></p><br></li><li><p><span>Act as a conduit for customer feedback to Product Management, Technical Marketing, competitor intelligence, and R&amp;D to create requirements and deliver product features for our customers</span></p><br></li></ul><ul><li><p>Drive high technical validation and PoV win rates within your assigned specialization area</p><br><p>.</p><br></li><li><p>Responsible for discussing and highlighting product alignment with customer requirements and differentiation</p><br><p>.</p><br></li><li><p>Architect solutions that will help our customers strengthen and simplify their security posture</p><br><p>.</p><br></li><li><p>Document High-Level Design and Key Use Cases to ensure proper implementation and value realization of Palo Alto Networks Solutions</p><br><p>.</p><br></li><li><p>Help our customers build and develop further their services around Cortex solutions</p><br><p>.</p><br></li><li><p>Lead conversations about industry trends and emerging changes to the security landscape</p><br><p>.</p><br></li><li><p>Discuss, with credibility, competitive offers in the marketplace and position ours as the best alternative</p><br><p>.</p><br></li><li><p>Position Palo Alto Networks or Partner delivered services as appropriate to ensure proper implementation and value realization of Palo Alto Networks solutions</p><br><p>.</p><br></li><li><p>Act as a conduit for customer feedback to Product Management, Technical Marketing, competitor intelligence, and R&amp;D to create requirements and deliver product features for our customers</p><br></li></ul><p><b>Qualifications </b></p><br><b>Your Experience</b><br><ul><li><p>6+ years experience in Security Operations or pre-sales/sales engineering within SIEM, SOAR, SOC, and/or XDR/EDR environments</p><br></li><li><p>Experience in working with customers, demonstrating problem-solving skills and a can-do attitude .</p><br></li><li><p>Solid understanding of Security Operations Center processes</p><br></li><li><p>Advanced knowledge of SIEM and/or SOAR solutions</p><br></li><li><p>Advanced knowledge of Endpoint Security XDR/EDR solutions.</p><br></li><li><p>Scripting experience is a plus - Python preferred</p><br></li><li><p>Understanding of Cloud Technologies and DevOps is preferred</p><br></li><li><p>Proficient in English and Arabic</p><br></li></ul><br><br><br><br><br><br><br><br><br><p><b>Our Commitment </b></p><br><p>We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.</p><br><p>We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at <span><u>accommodations@paloaltonetworks.com</u></span>.</p><br><p>Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.</p><br><p>All your information will be kept confidential according to EEO guidelines.</p><br>Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.<br> Apply <p>Current Employees, apply here</p><br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span><strong>CRM and Performance Reporting Officer</strong></span></p><br><p><span><strong>Grade:</strong> Grade 5</span><br><span><strong>Directorate:</strong> Marketing, Recruitment, Admissions and Communications (MRAC)</span><br><span><strong>Function:</strong> Prospect Experience / Global Admissions Hub</span><br><span><strong>Location:</strong> Dubai</span><br><span><strong>Employment Type:</strong> Full-time</span><br><span><strong>Reports to:</strong> CRM &amp; Performance Reporting Manager</span></p><br><p><span><strong>Role Purpose</strong></span></p><br><p><span>The CRM and Performance Reporting Officer will support the effective delivery of CRM, data analytics, performance reporting and automation activities across MRAC, Prospect Experience and the Global Admissions Hub.</span></p><br><p><span>Working closely with the CRM &amp; Performance Reporting Manager, the postholder will support the development of Power BI dashboards, CRM workflows, recruitment and admissions reporting, applicant conversion analysis, Cost of Acquisition monitoring and data quality. The role will also support campaign delivery, regulatory reporting and wider digital improvement initiatives.</span></p><br><p><span><strong>Key Responsibilities</strong></span></p><br><p><span><strong>Data Analytics and Power BI</strong></span></p><br><ul><li><span>Develop, maintain and enhance Power BI dashboards covering recruitment, admissions, conversion and enrolment performance.</span></li><li><span>Use DAX, Power Query and data modelling techniques to support accurate and effective reporting.</span></li><li><span>Analyse complex datasets to identify trends, risks and opportunities.</span></li><li><span>Support the development of reporting models using data from CRM, admissions and other institutional systems.</span></li><li><span>Ensure dashboards and reports are accurate, consistent and accessible to relevant stakeholders.</span></li></ul><p><span><strong>Recruitment and Admissions Reporting</strong></span></p><br><ul><li><span>Produce regular reporting on applications, offers, deposits, enrolments and conversion performance.</span></li><li><span>Monitor applicant progression through the recruitment and admissions funnel.</span></li><li><span>Support intake forecasting and trajectory modelling across September, January and May.</span></li><li><span>Provide ad-hoc analysis to support operational and strategic decision-making.</span></li></ul><p><span><strong>Cost of Acquisition and Financial Reporting</strong></span></p><br><ul><li><span>Support Cost of Acquisition modelling and reporting.</span></li><li><span>Assist with analysis of scholarships, discounts and agent commissions.</span></li><li><span>Support monitoring and reconciliation of recruitment-related expenditure and performance.</span></li><li><span>Contribute to improved governance and reporting of discounts and scholarships.</span></li></ul><p><span><strong>Admissions and Campaign Support</strong></span></p><br><ul><li><span>Support accurate tracking of application status, documentation, offer conditions and enrolment progression.</span></li><li><span>Assist with CRM-based conversion and applicant communication campaigns.</span></li><li><span>Support audience segmentation and targeted communications across the applicant journey.</span></li><li><span>Work with Recruitment, Admissions and Marketing colleagues to improve applicant engagement and conversion.</span></li></ul><p><span><strong>CRM and Automation</strong></span></p><br><ul><li><span>Build, maintain and optimise CRM workflows, automation journeys and communication campaigns.</span></li><li><span>Support CRM system testing, enhancements and user administration.</span></li><li><span>Monitor CRM processes and identify opportunities to improve efficiency and reduce manual activity.</span></li></ul><p><span>Support colleagues with CRM-related queries and system processes.</span></p><br><p><span><strong>Data Quality, Compliance and Continuous Improvement</strong></span></p><br><ul><li><span>Support data quality checks and identify discrepancies across CRM and related systems.</span></li><li><span>Assist with CHEDS and other institutional or regulatory reporting requirements.</span></li><li><span>Support audit and compliance activity relating to recruitment and admissions data.</span></li><li><span>Identify opportunities for automation, process improvement and enhanced reporting.</span></li><li><span>Contribute to wider MRAC digital transformation initiatives.</span></li></ul><p><span><strong>Person Specification</strong></span></p><br><p><span><strong>Education and Qualifications</strong></span></p><br><p><span><strong>Essential</strong></span></p><br><ul><li><span>Bachelor’s degree in Data Science, Data Analytics, Business Analytics, Computer Science, Information Systems or a closely related quantitative discipline.</span></li></ul><p><span><strong>Desirable</strong></span></p><br><ul><li><span>Master’s degree in Data Science, Data Analytics, Business Analytics or a related discipline.</span></li><li><span>Relevant Microsoft Power BI or data analytics certification.</span></li></ul><p><span><strong>Technical Skills</strong></span></p><br><p><span><strong>Essential</strong></span></p><br><ul><li><span>Strong practical experience using Microsoft Power BI.</span></li><li><span>Demonstrable proficiency in DAX.</span></li><li><span>Strong understanding of data modelling and dashboard development.</span></li><li><span>Experience using Power Query for data preparation and transformation.</span></li><li><span>Strong analytical and numerical skills.</span></li><li><span>Advanced Microsoft Excel skills.</span></li><li><span>Ability to work with large and complex datasets.</span></li><li><span>Strong understanding of data quality, validation and reconciliation.</span></li></ul><p><span><strong>Desirable</strong></span></p><br><ul><li><span>Working knowledge of SQL or equivalent data-querying tools.</span></li><li><span>Experience with CRM or marketing automation systems.</span></li><li><span>Knowledge of Power Automate or other Microsoft Power Platform tools.</span></li><li><span>Exposure to forecasting, predictive analytics or statistical modelling.</span></li><li><span>Experience using Python, R or similar analytical tools.</span></li></ul><p><span><strong>Experience</strong></span></p><br><p><span><strong>Essential</strong></span></p><br><ul><li><span>Experience producing analytical reports, dashboards or management information.</span></li><li><span>Experience analysing data and translating findings into meaningful insights.</span></li><li><span>Experience managing multiple priorities and working to deadlines.</span></li><li><span>Experience working collaboratively with stakeholders.</span></li></ul><p><span><strong>Desirable</strong></span></p><br><ul><li><span>Experience within higher education, recruitment, admissions or student services.</span></li><li><span>Experience working with applicant conversion or recruitment performance data.</span></li><li><span>Experience supporting CRM automation and communication campaigns.</span></li><li><span>Experience with Cost of Acquisition, scholarships, discounts or commission reporting.</span></li><li><span>Experience supporting regulatory or compliance reporting.</span></li></ul><p><span><strong>Skills and Competencies</strong></span></p><br><p><span>The successful candidate will demonstrate:</span></p><br><ul><li><span>Strong analytical and problem-solving skills.</span></li><li><span>High attention to detail and accuracy.</span></li><li><span>Ability to communicate data and insights clearly to technical and non-technical audiences.</span></li><li><span>Strong organisational and time-management skills.</span></li><li><span>Ability to work independently and collaboratively.</span></li><li><span>A proactive approach to continuous improvement and automation.</span></li><li><span>Commitment to data integrity, confidentiality and good governance.</span></li></ul><p><span><strong>Key Working Relationships</strong></span></p><br><p><span>The postholder will work closely with:</span></p><br><ul><li><span>CRM &amp; Performance Reporting Manager</span></li><li><span>Finance and Planning</span></li><li><span>Prospect Experience and Global Admissions Hub teams</span></li><li><span>Recruitment and Admissions teams</span></li><li><span>Marketing and Communications</span></li><li><span>Information Services and other relevant professional services teams</span></li></ul><p><span><strong>‘How to Apply’</strong></span></p><br><p><span>Please submit your CV and a cover letter setting out how you meet the criteria for this role. &nbsp;</span></p><br><p><span>Shortlisted candidates may be invited to complete an on-demand-video interview as the first stage of the selection process. Successful candidates will then proceed to in-person formal interviews at our Dubai campus. Following the formal interview, the preferred candidate will attend a second interview with senior staff at the Dubai campus before a final offer decision is made.</span></p><br><p><span>At Heriot Watt we are passionate about our values and look to them to connect our people globally and to help us collaborate and celebrate our success through working together. Our research programmes can deliver real world impact which is achieved through the diversity of our international community and the recognition of creative talent that connects our global team.&nbsp;</span></p><br><p><span>Our flourishing community will give you the freedom to challenge and to bring your enterprising mind and to help our partners with solutions that can be applied now and in the future. Join us and Heriot Watt will provide you with a platform to thrive and work in a way that also helps you live your life in balance with well-being and inclusiveness at the heart of our global community.</span></p><br><p><span>Heriot-Watt University is committed to securing equality of opportunity in employment and to the creation of an environment in which individuals are selected, trained, promoted, appraised and otherwise treated on the sole basis of their relevant merits and abilities.&nbsp; Equality and diversity are all about maximising potential and creating a culture of inclusion for all.</span></p><br><p><i><span><strong>The appointment is conditional upon successful completion of all Labor and Immigration formalities, and the start date will need to be delayed if the employment visa is not in place.</strong></span></i></p><br><br> </div>

Job Purpose: <br>The Senior Specialist - Sys Ops (Dev Ops) is responsible for managing, optimizing, and securing enterprise infrastructure, cloud platforms, Dev Ops toolchains, automation frameworks, and containerized environments. The role ensures reliability, scalability, performance, and operational excellence across internal and customer-hosted platforms while providing advanced technical support for incidents, service requests, and operational challenges.<br>Key Responsibilities: -<br>Infrastructure and Operations Participate in the design, planning, and implementation of new projects and technologies, ensuring that solutions are highly available, secure, scalable, and performant. Provide day-to-day L2/L3 operational support, including incidents, service requests, problems, changes, and operational tasks. Monitor infrastructure performance, identify and resolve bottlenecks, troubleshoot outages, perform root cause analysis, and recommend improvements. Secure infrastructure by establishing and enforcing policies, defining and monitoring access, and supporting vulnerability and risk remediation. Maintain infrastructure health checks and proactively take action to minimize downtime and performance issues. Ensure services are backed up and recoverable in accordance with approved backup and recovery policies. Report operational infrastructure status, risks, progress, dependencies, and challenges to management. Actively participate in new projects, technology initiatives, and the onboarding of new customers and services. Cloud Platform and Platform Engineering Design, deploy, administer, and optimize Microsoft Azure infrastructure and platform services. Support cloud migration, modernization, hybrid-cloud integration, governance, security, availability, and cost optimization initiatives. Implement resilient cloud-native architectures and standardized platform services that improve scalability and operational efficiency. Containers, Orchestration, and Git Ops Deploy, manage, upgrade, and troubleshoot containerized workloads using Kubernetes, Docker, and Helm. Implement Git Ops-based deployment and configuration management practices for consistent, auditable, and repeatable platform operations. Monitor and optimize cluster availability, performance, resource utilization, capacity, and security. Infrastructure as Code and Configuration Management Develop and maintain Infrastructure as Code using Terraform, Ansible, and Bicep. Create reusable modules, templates, playbooks, and automated provisioning workflows. Maintain version-controlled infrastructure definitions and configuration standards to ensure consistency across environments. CI/CD and Dev Sec Ops Design, build, maintain, and optimize CI/CD pipelines using Jenkins, Git Hub, Git Lab, and Azure Dev Ops. Automate build, test, security validation, deployment, rollback, and release processes. Collaborate with development, security, and operations teams to embed security, compliance, and quality controls into delivery pipelines. Promote Dev Ops and Git Ops practices to improve deployment speed, consistency, traceability, and reliability. Scripting and Workflow Automation Develop and maintain automation scripts and configuration files using Bash, Power Shell, Python, and YAML. Automate repetitive infrastructure, deployment, monitoring, reporting, and service-management activities to reduce manual effort and operational risk. Integrate enterprise platforms, APIs, and workflows to streamline service delivery and operational processes. Monitoring and Observability Implement and maintain monitoring, dashboards, alerting, and observability solutions using Prometheus, Grafana, Azure Monitor, and Log Analytics. Perform proactive monitoring, capacity planning, trend analysis, and performance optimization to maintain service stability and availability.<br>AI and Automation Deploy and operationally support Azure AI services and AI-enabled solutions in accordance with security and governance requirements. Design and implement workflow automation that improves operational efficiency, response times, and service quality. Evaluate emerging AI, cloud-native, and automation technologies for practical adoption and service enhancement. Service Management, Documentation, and Stakeholder Support Ensure compliance with approved ITSM policies, processes, procedures, and service-management guidelines. Write comprehensive technical reports, operational procedures, assessment findings, knowledge-base articles, known-error records, and troubleshooting documentation.<br>Skills/Certifications (Technical & Non-Technical) Red Hat Certified System Administrator (RHCSA) or Red Hat Certified Engineer (RHCE) Microsoft Certified: Azure Administrator Associate<br>Minimum Work Experience: -<br>5+ Years of Relevant Experience<br>Education: -<br>Bachelor’s degree in computer science, Computer Engineering, Information Technology, Information Systems or High School Diploma and Solid Related Work Experience.

The Laboratory for Computer-Human Intelligence in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a motivated Research Assistant to work on cutting-edge machine learning / artificial intelligence / data science applications that utilize human signals (e.g. text, audio, physiology).<br><br>The Role<br><br>The Research Assistant will work on research projects in the Laboratory for Computer-Human Intelligence under the direction of the Principal Investigator Tuka Alhanai. Research projects range from implementing machine learning algorithms that measure cognitive outcomes, to visualizing patterns that map population-level health and well-being. The Research Assistant is expected to develop creative solutions to day-to-day technical challenges, think critically about meaningful next steps in the research process, and lucidly relay their thoughts, insights, and conclusions to high-level executive audiences and technical peers. It is not expected that the applicant be perfect at these tasks, but will motivated and self-driven to develop the necessary skills to master the role of a researcher.<br><br>Key Responsibilities<br><br>In the capacity of a researcher, the individual is expected to generally conduct the following activities. The specifics are dependent on the nature of the project they work on.<br><br>Data Curation: Develop data ingestion engine(s) (appropriate for the data type) to organize the data that simplifies processing conducted with the data. Researcher will utilize any of sensors, front-end web-based applications, and databases to collect and organize data. Multimodal Signal Processing: involves processing data of different types (e.g. audio, text, physiology, image, movement), using computational methods. Most data is noisy and needs to be cleaned and reduced into a salient representation. Machine Learning: involves applying algorithms to automatically detect patterns in data and model outcomes of interest. Many if the latest modeling approaches are little understood, and require computational power to digest information beyond what humans are able to process. Visualization: Representation of data and results in the form of plots, charts, and images. This helps convey to technical peers as well as the general public what contributions the work makes to knowledge. It is expected that this be rendered statically and/or dynamically in a web framework. Documentation: involves structuring above work in a (a) software repository, (b) comprehensive comments in software, (c) development of a clear README, (d) journal/conference paper*, and (e) corresponding project website. This ensures work is reproducible and accessible to both technical peers and the general public.researcher should target top-100 publications here: http://www.guide2research.com/topconf/<br><br>Technical Experience<br><br>The successful applicant will have the following technical experience in:<br><br>The development of end-to-end applications (e.g. databases, algorithms, visualizations). Processing one or more data types/signals (e.g. text, audio, images, physiology). Applying machine learning algorithms (e.g. regression, neural networks). Utilizing the following programming languages/frameworks: bash, SQL, Python, HTML, Javascript, and Tensorflow/Pytorch, as well as source code version control (git). Authoring peer-reviewed scientific papers.<br><br>Attitude<br><br>The successful applicant should be self-driven and interested in the general domain of machine learning (e.g. latest ideas, research findings, research tools), contain a scientific curiosity for formalizing the underlying mechanisms of the observable world (e.g. do we make conclusions based on the words in speech, or intonation of speech?), and is passionate about creating timeless systems, with an attention to detail and zeal for quality.<br><br>Further Information<br><br>For a sense of work performed in the lab, explore this portfolio: https://talhanai.xyz/projects.html<br><br>The Division<br><br>Engineering research at NYU Abu Dhabi crosses the boundaries of traditional engineering disciplines and encompasses broad interdisciplinary areas that embody key characteristics of our age. In the face of global competition, dwindling natural resources, and the complexity of societal needs, the leaders of technological enterprises will be those who can innovate, are inventive and entrepreneurial, and understand how technology is integrated within society.<br><br>About NYUAD<br><br>NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.<br><br>UAE Nationals are encouraged to apply.<br><br>Educational Experience<br><br>The successful application will have a Bachelor’s (ideally Master’s) degree in Computer Science (or equivalent major; Mathematics, Physics, Engineering, Economics, etc.).<br><br>Applications Will Be Considered On a Rolling Basis Until The Position Is Filled. An Applicant That Passes The Review Process Will Be Accepted Immediately. To Be Considered, All Applicants Must Submit In PDF Format<br><br>Cover letter. Curriculum Vitae. Transcript of degree. Two letters of recommendation.<br><br>Additional Program Information<br><br>UAE nationals are encouraged to apply<br><br>This position is under the NYUAD Kawader program, for details regarding the program, open dates, specific program requirements, and FAQ's please refer to our NYUAD Kawader webpage: https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research/kawader-research-assistantship-program.html<br><br>Kawader is a unique, national capacity-building research fellowship program that allows outstanding graduates to gain experience in a cutting-edge academic research environment. This three-year, individually tailored, intensive program has two distinctive paths designed for (Emirati) graduates considering a graduate degree or a career in research.<br><br>For further information or questions regarding the position/program please contact nyuad.kawader@nyu.edu (due to the high volume of emails received, please allow 5 working days for a response)<br><br>UAE nationals are encouraged to apply<br><br>This position is under the NYUAD Kawader program, for details regarding the program, open dates, specific program requirements, and FAQ's please refer to our NYUAD Kawader webpage: https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research/kawader-research-assistantship-program.html<br><br>For further information or questions regarding the position/program please contact nyuad.kawader@nyu.edu (due to the high volume of emails received, please allow 5 working days for a response)<br><br>Equal Employment Opportunity Statement<br><br>For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr<br><br>NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.<br><br>Sustainability Statement <br><br>NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability