Python Developer Jobs in UAE

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Kpler s Oil &amp; Chemicals business unit is rapidly advancing its real-time analytics and is looking for a technically sharp, data-literate Refineries Analyst to join its growing global team.</p> <p>In this role, you will take absolute ownership of the data integrity, maintenance, and quality control of our bottom-up refinery models. You will synthesize Kpler s industry-leading proprietary data-including live crude flows, production, pipeline volumes, and inventory levels-into a cohesive modeling framework, utilizing our internal Linear Programming (LP) model as a core tool for tuning and optimization. By connecting upstream inputs and offline events with real-world refinery capacities and yields, you will ensure our models seamlessly integrate into Kpler s broader Supply &amp; Demand balances.</p> <p>Because you are joining us during an ambitious product expansion, you will play a foundational role in the evolution of our platform. This is a truly hybrid-minded position where you will serve as the subject matter expert bridging the gap between physical market reality and technical architecture-partnering closely with our Product Engineering team to build, refine, and validate our most sophisticated fundamental datasets.</p> <p><strong>Your mission is to:</strong></p> <ul> <li> <p>Maintain data integrity, capacity, and offline event records for individual refinery models and regional balances, utilizing the internal Linear Programming model for tuning.</p> </li> <li> <p>Prioritize the validation and improvement of existing models; data quality and domain expertise are the critical drivers for this role.</p> </li> <li> <p>Lead the effort to backtest and guide models using external data sources (EIA, JODI, IRR, ANP) to ensure outputs align with physical market realities.</p> </li> <li> <p>Apply a deep understanding of distillation, reforming, FCC, and blending to optimize refinery circuit views and regional supply/demand dynamics.</p> </li> <li> <p>Source and leverage large datasets using Python, PostgreSQL and to automate data flows and improve model accuracy.</p> </li> <li> <p>Collaborate with Data, Product, Engineering, and Sales teams to provide insights for refineries product development.</p> </li> <li> <p>Respond to internal and external data requests and client queries in a timely manner.</p> </li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Essential:</strong></p> <ul> <li> <p>At least 3 5 years of experience as a Refinery Economist, Refining Analyst, LP Modeler or related roles.</p> </li> <li> <p>A deep understanding of physical refinery unit operations (Distillation, Reforming, FCC, Blending, etc.) and refinery economics (flows, pricing, regulations, and arbitrage dynamics).</p> </li> <li> <p>Practical experience using industry-standard Linear Programming software (Aspen PIMS, AVEVA Unified/Spiral, or Haverly GRTMPS) is essential to be functional in this role.</p> </li> <li> <p>Comfortable with Python and PostgreSQL</p> </li> <li> <p>Proven experience sourcing and leveraging external data (EIA/JODI/IRR) to model refineries.</p> </li> <li> <p>Strong background in data-driven modeling, validation, and managing input data integrity (e.g., capacity and offline events).</p> </li> </ul> <p> <strong>Desirable:</strong></p> <ul> <li> <p>Experience with refinery optimization, especially with a focus on circuit-wide views.</p> </li> <li> <p>Experience with data visualization.</p> </li> <li> <p>Past experience contributing to SaaS product or data improvement initiatives.</p> </li> <li> <p>Experience in leveraging AI tools (Claude, Cursor, etc) for data analysis &amp; management, and general workflow optimization</p> </li> </ul> <p><strong>Behavioural Competencies:</strong></p> <ul> <li> <p>Ownership of day-to-day work and strong attention to detail.</p> </li> <li> <p>Self-starter, thrives in an ambitious, early-stage product environment without requiring direct supervision.</p> </li> <li> <p>Eagerness to invest significant time in individual refinery tuning and bottom-up modeling.</p> </li> <li> <p>Driven to find data to backtest and guide models.</p> </li> <li> <p>Client-facing confidence.</p> </li> </ul> <div> <p><strong>Qualifications</strong></p> <ul> <li> <p>Bachelor s degree in a technical or quantitative field, with proven experience applying modeling techniques in commercial or research environments</p> </li> </ul> </div><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Senior AI &amp; Solutions EngineerAI • Salesforce • LLMs • Intelligent CRM • Full-Stack EngineeringBuild the Future of AI-Powered Enterprise Solutions We are looking for an exceptional Senior AI &amp; Solutions Engineer to join our team and help us push the boundaries of what is possible with AI, Salesforce and next-generation CRM technology.<br> This is not a traditional software engineering role.<br> We are looking for someone who is genuinely excited about AI, LLMs, automation and building things that haven't been built before .<br> You will have the opportunity to work with technologies such as Claude, ChatGPT/OpenAI, Salesforce Agentforce and our own AI-powered CRM , turning ideas into impressive, working solutions that can be demonstrated to some of the world's leading companies.<br> You will have significant freedom to experiment, innovate and influence the direction of our AI technology.<br> This is your opportunity to build, experiment and showcase what you can do.<br> The Opportunity You will sit at the centre of our AI, Product, Business Development and Services teams .<br> Your role will be to take a customer challenge, understand the business problem and turn it into something tangible.<br> That could mean: Customer problem → AI concept → architecture → code → working prototype → compelling demo → production solution.<br> You will build highly compelling, industry-specific demonstrations across Salesforce and our proprietary CRM platform, while helping customers understand how AI can transform their organisations.<br> You will also help us embed AI throughout our own organisation, working with our R&amp;D and Services teams to make AI part of how we build and deliver technology.<br> What You'll Be DoingBuild AI Solutions Work hands-on with the latest AI technologies to create: AI agents Intelligent CRM capabilities AI sales assistants Customer intelligence platforms Automated workflows RAG and enterprise knowledge systems AI-powered business processes AI copilots Multi-agent solutions LLM-powered applications Industry-specific AI solutions You'll be encouraged to experiment with new technologies and approaches and determine what genuinely works.<br> Salesforce + AI Build innovative AI experiences around Salesforce using technologies including: Salesforce Salesforce Agentforce Einstein Apex Lightning Web Components Salesforce Flow Salesforce APIs External LLM integrations You'll combine Salesforce capabilities with leading LLMs such as Claude and OpenAI to create solutions that go well beyond standard CRM functionality.<br> Build Our Own AI-Powered CRM You'll also work directly on our proprietary CRM platform.<br> This is where you can really innovate.<br> You'll help design and build: AI-native CRM functionality AI sales intelligence Automated account research Intelligent lead analysis AI-generated customer insights Sales agents Automated workflows AI-powered customer engagement Intelligent recommendations Enterprise AI assistants You won't simply be integrating AI into an existing product — you'll help shape what an AI-native CRM should actually look like.<br> Full-Stack Engineering You need to be a genuine hands-on engineer.<br> Front End React TypeScript JavaScript Next.<br>js HTML/CSS Modern component architectures Backend Python Node.<br>js FastAPI REST APIs GraphQL Microservices Strong Python and/or TypeScript experience is particularly important.<br> AI Engineering You should have real-world experience working with modern LLM technology, including: OpenAI / ChatGPT Anthropic Claude Gemini LLM APIs Prompt engineering RAG Vector databases Embeddings Function/tool calling AI agents Agentic workflows Multi-agent architectures AI evaluation AI guardrails AI security Experience with frameworks such as LangChain, LangGraph or equivalent technologies is highly desirable.<br> Customer-Facing You will not be sitting behind a screen all day.<br> You will work directly with customers, prospects and senior stakeholders to understand their businesses and identify where AI can make a real difference.<br> You'll be involved in: Customer discovery sessions Technical workshops AI strategy discussions Solution design Technical demonstrations Proof-of-concepts RFP/RFI responses Customer presentations AI roadmaps Solution implementation You need to be comfortable explaining complex technology in a way that makes sense to a CEO, CIO, CTO or business leader .<br> Work Directly With Business Development You will become a key technical partner to our Business Development team.<br> Together you'll create best-in-class industry demonstrations designed around real customer challenges.<br> Rather than giving customers generic AI demos, you'll help us build: "This is your industry.<br> This is your problem.<br> This is what we can build for you.<br>" You'll help turn opportunities into compelling technical demonstrations that customers can immediately understand and get excited about.<br> Become Our Internal AI Champion AI will increasingly become part of everything we do.<br> You'll work with our R&amp;D and Services teams to: Introduce new AI technologies.<br> Develop AI engineering standards.<br> Train developers and consultants.<br> Build reusable AI components.<br> Create internal AI frameworks.<br> Identify opportunities for automation.<br> Help teams incorporate AI into existing solutions.<br> Run internal AI workshops.<br> Share new developments and technologies.<br> You'll have the opportunity to become one of the key technical voices shaping our AI strategy.<br> Create Content &amp; Showcase What We Build If we build something great, we want people to see it.<br> You'll help create: Product demonstrations AI demo videos Technical walkthroughs Customer presentations Internal training videos LinkedIn/video content Technical articles Architecture demonstrations You should be comfortable jumping on camera and saying: "Let me show you what we've built.<br>" Fast-Paced Environment We move quickly.<br> Customer opportunities can appear with tight deadlines , and sometimes the requirement will be: "We have a customer meeting next week.<br> Can we build this?<br>" We expect you to thrive in that environment.<br> You should be comfortable: Working to tight deadlines.<br> Rapidly prototyping ideas.<br> Prioritising what matters.<br> Making decisions quickly.<br> Working independently.<br> Iterating quickly based on feedback.<br> Moving from idea to demonstration in days rather than weeks.<br> We don't expect everything to be perfect on the first attempt.<br> We expect you to build, test, learn and improve quickly.<br> The Technology StackAI OpenAI • Anthropic Claude • Gemini • Azure OpenAI • LLM APIs • RAG • AI Agents • Agentic Workflows • Prompt Engineering • Embeddings • Vector Search • Function Calling • AI Evaluation • AI Guardrails Salesforce Salesforce CRM • Agentforce • Einstein • Apex • Lightning Web Components • Salesforce Flow • Salesforce APIs Front End React • TypeScript • JavaScript • Next.<br>js Backend Python • Node.<br>js • FastAPI • REST • GraphQL • Microservices Data PostgreSQL • MongoDB • Redis • Vector Databases • pgvector • Pinecone • Weaviate • Elasticsearch / OpenSearch Cloud &amp; DevOps Azure • AWS • Google Cloud • Docker • Kubernetes • Git • GitHub/GitLab • CI/CD What We're Looking For We are looking for someone who combines: Engineering ability + AI expertise + creativity + commercial thinking + communication skills.<br> You should have: 7+ years of software engineering / solution architecture experience.<br> Strong full-stack development skills.<br> Strong React and TypeScript.<br> Strong Python and/or Node.<br>js. Significant Salesforce experience.<br> Experience with Salesforce Agentforce / Einstein.<br> Hands-on experience with OpenAI and/or Anthropic Claude.<br> Experience building LLM-powered applications.<br> Experience with AI agents and RAG.<br> Strong API and integration experience.<br> Cloud experience.<br> Enterprise architecture experience.<br> Excellent communication skills.<br> Experience working directly with customers.<br> Most importantly, you should be curious .<br> AI is changing incredibly quickly.<br> We don't expect you to know everything.<br> We want someone who sees a new technology and thinks: "I wonder what we could build with that?<br>" Why Join Us?<br>Build, Don't Just Talk About AI You'll be building real AI products and solutions for real customers.<br> Work With Cutting-Edge Technology You'll work with some of the world's leading LLMs and AI platforms and constantly experiment with what comes next.<br> Be Creative We want ideas.<br> If you have a better way of doing something, we want to hear it.<br> Work Remotely This is a fully remote role , working with an international team and customers across multiple markets.<br> Move Fast You'll have the opportunity to take an idea from concept to working demonstration incredibly quickly.<br> Showcase Your Work You'll have opportunities to demonstrate and showcase the technology you build through customer demos, videos, presentations and industry events.<br> Shape the Product You're not joining simply to maintain someone else's architecture.<br> You'll have a genuine opportunity to influence how we build our AI products and what our AI-powered CRM becomes.<br> The Person We're Looking For You might be a: Senior Full-Stack Engineer who became obsessed with AI.<br> AI Engineer who loves building products.<br> Salesforce Architect who has moved heavily into Generative AI.<br> Solutions Architect who can actually code.<br> Or someone who simply doesn't fit neatly into one of those boxes.<br> That's fine.<br> If you're technically excellent, commercially minded, curious about AI and love building things, we want to hear from you.<br> This is an opportunity to make a real impact.<br> You will have the freedom to experiment, the responsibility to deliver and the opportunity to build technology that customers genuinely want to use.<br> If you want to be at the forefront of AI, build incredible solutions and have your work seen by customers around the world, this could be the role for you.<br></span> </div>

The Center for Artificial Intelligence and Robotics (CAIR) at NYU Abu Dhabi invites qualified applicants with a doctorate degree in the areas of electrical or computer engineering or computer science, or related fields to apply. A strong publication record is encouraged and previous experience in areas such as Neural network vulnerabilities and defenses, Anomaly detection, Adversarial machine learning, Computer vision, and Autonomous Robots is desired.<br><br>The successful applicant will work on various projects on robotics and computer vision, controls, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in MATLAB/Python), deployment to robotics applications; onboard computational hardware using the Robot Operating System), and experimental testing (on unmanned vehicle swarms). A solid competency with the standard implementation tools used in machine learning and embedded systems (e.g., C, C++, Linux, PyTorch, Tensor Flow, MATLAB, Python, Robot Operating System) is required.<br><br>The position is open to PhDs with backgrounds in AI, and/or computer vision and robotics/controls, and with less than 5 years of experience after receiving their PhD. The candidate is expected to work in a highly collaborative multi-disciplinary environment with other post-doctoral associates, PhD and undergraduate students, as well as faculty members (both in NYU Abu Dhabi and NYU New York). It is expected that applicants have a strong publication record in the aforementioned areas. The applicants are also expected to have strong analytical, communication, and writing skills.<br><br>Applications will be accepted on a rolling basis and candidates will be considered until the positions are filled. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree/ copy of highest degree, research statement, and at least 2 contact references referees having essential knowledge of the candidate’s academic work, all in PDF format.<br><br>If you have any questions, please reach out to Dr. Farshad Khorrami at khorrami@nyu.edu.<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. 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

<br><p>Next Match AI LLC is seeking a highly skilled, independent <strong>Web Developer</strong> to build, maintain, and optimize our platform tools. As our AI-driven matching architectures and automated verification systems scale across North America and the GCC, we require a developer who can bridge seamless client-side interfaces with high-performance backend pipelines.</p><p>Operating completely remote from within the UAE, you will take technical ownership of candidate-facing portals, employer dashboards, and high-throughput web workflows, collaborating directly with our core engineering hub in Abu Dhabi.</p><p><strong>Key Responsibilities</strong></p><ul><li><p><strong>Application Delivery:</strong> Design, develop, and maintain responsive, high-performance web applications using modern front-end frameworks (React, Next.js, TypeScript) and asynchronous backend setups.</p></li><li><p><strong>API & Core Systems Integration:</strong> Consume and build RESTful and GraphQL endpoints to interface with our HR API architecture and database pipelines cleanly.</p></li><li><p><strong>UI/UX Optimization:</strong> Turn complex design briefs into modular, clean visual layouts focused on cross-browser stability, fast load times, and intuitive candidate/employer user journeys.</p></li><li><p><strong>Security & Data Integrity:</strong> Implement secure data-handling protocols to safeguard identity verification interfaces and transactional workflows.</p></li><li><p><strong>System Refinement & CI/CD:</strong> Participate in code reviews, debug issues, write clean code, and maintain unit testing/deployment pipelines for maximum application uptime.</p></li></ul><p><strong>Compensation & Perks</strong></p><ul><li><p><strong>Tax-Free Base Salary:</strong> <strong>AED 19,000 – AED 25,000 per month</strong> (Positioned 20% above UAE market average, dependent on experience).</p></li><li><p><strong>Remote Work Flexibility:</strong> 100% remote workflow autonomy with dedicated personal technology stipends.</p></li><li><p><strong>Global Impact:</strong> Work on critical AI-driven infrastructure used by job seekers and global enterprise clients daily.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Who You Are (Requirements)</strong></p><ul><li><p><strong>Experience:</strong> 3+ years of hands-on experience delivering production-grade web applications (B2B SaaS, HR Tech, or fast-moving startup environments preferred).</p></li><li><p><strong>Frontend Mastery:</strong> Deep proficiency in HTML5, CSS3/Tailwind, Modern JavaScript, TypeScript, and React/Next.js frameworks.</p></li><li><p><strong>Backend & API Literacy:</strong> Working experience with Node.js, Python, or similar backend environments, alongside Git version control and SQL/NoSQL database management.</p></li><li><p><strong>Residence:</strong> Currently living within the United Arab Emirates (UAE) with a valid residency status.</p></li><li><p><strong>Communication:</strong> Excellent verbal and written English communication skills; ability to self-manage, document tasks clearly, and work autonomously in a remote setup.</p></li></ul>

Infrastructure & Cloud Engineer Dubai, UAEBuild the platforms that power world-class engineering<br>At Black & White Engineering, we're investing heavily in the future of our cloud, infrastructure, data, and AI capabilities. We're looking for an Infrastructure & Cloud Engineer who wants more than just operational support work. This is an opportunity to take ownership of a modern Microsoft Azure environment, contribute to the development of advanced data and AI platforms, and support the high-performance computing environments that enable some of the world's most complex engineering projects.<br>You'll work across cloud infrastructure, identity, automation, security, data platforms, AI workloads, and HPC environments, helping shape scalable and resilient platforms that support teams across Europe, the Middle East, Asia, and Australia.<br>This role offers exposure to Azure cloud technologies, Databricks, AI infrastructure, Infrastructure as Code, automation, Zero Trust security principles, and enterprise-scale platform engineering. If you're looking to expand your technical breadth while working in a highly collaborative environment, this could be an excellent next step in your career.<br>What you'll be doing Cloud & Infrastructure Managing and optimising Microsoft Azure environments including compute, storage, networking, and platform services Supporting Azure Landing Zones and cloud platform foundations Maintaining secure, scalable, and cost-efficient cloud infrastructure Managing patching, lifecycle activities, operating system hardening, and platform governance Driving environment consistency through Infrastructure as Code and automation Identity & Security Managing Microsoft Entra ID, Conditional Access, MFA, RBAC, and Privileged Identity Management Supporting Zero Trust initiatives in collaboration with Cyber Security teams Maintaining secure access controls and governance standards<br>Data, AI & Modern Platforms Supporting Databricks, Azure Data Lake, and modern data platform infrastructure Assisting with AI and machine learning environments including Azure Open AI services and GPU-based workloads Managing platform monitoring, performance, security, and cost optimisation Supporting storage lifecycle management and governance frameworks HPC & Engineering Systems Operating Linux-based High Performance Computing environments Supporting engineering applications, licensing platforms, and compute resources Managing storage and performance requirements for engineering workloads Contributing to future HPC growth and capacity planning Automation & Operational Excellence Automating infrastructure operations using Terraform, Python, Power Shell, and Bash Supporting CI/CD pipelines and Dev Ops practices Maintaining operational documentation, runbooks, and disaster recovery procedures Driving continuous improvement across infrastructure and cloud services<br>What's in it for you? Ownership of critical cloud and infrastructure platforms across a global engineering business Exposure to Azure, Databricks, AI infrastructure, automation, and modern platform engineering Opportunity to work on emerging technologies including Azure Open AI and AI/ML environments Hands-on involvement in cloud transformation and platform modernisation initiatives Collaboration with Infrastructure, Network, Security, Business Solutions, and Engineering teams A chance to influence platform standards, automation strategies, and future technology roadmaps International exposure supporting teams across multiple regions A supportive environment focused on professional development and technical growth<br>What we're looking for We're interested in professionals who bring experience across several of the following areas:Microsoft Azure infrastructure and services Microsoft Entra ID and identity management Intune and endpoint management Infrastructure as Code using Terraform Linux administration (RHEL and/or Ubuntu) Scripting and automation using Python, Power Shell, or Bash Backup, disaster recovery, and business continuity Cloud cost optimisation and capacity planning CI/CD and Dev Ops practices Experience with Databricks, Azure Data Lake, Microsoft Fabric, Azure Open AI, container platforms, HPC environments, or hybrid cloud architectures would be advantageous.<br>About Black & White Engineering Black & White Engineering is a leading multi-disciplinary engineering consultancy specialising in the design and delivery of mission-critical and highly technical facilities across the globe. With offices spanning Europe, the Middle East, Asia, and Australia, we partner with some of the world's most recognised organisations to deliver innovative and sustainable engineering solutions. Our culture is built around Accountability, Integrity, Simplicity, Support, and Quality. We believe in empowering our people, encouraging innovation, and creating an environment where talented professionals can develop their careers while making a meaningful impact.<br>Interested? If you're passionate about cloud infrastructure, automation, modern platforms, and emerging technologies, we'd love to hear from you.<br>Apply now and help shape the future of infrastructure and cloud engineering at Black & White Engineering.

About Ansen Ansen is a globally expanding cybersecurity company driven by AI innovation. We build advanced security technologies and AI-enabled enterprise systems for government organizations and enterprise customers across international markets. Our mission is to build secure, resilient digital systems and protect the peace of the digital world.<br>Role Overview We are looking for a Senior Product Manager — Applied AI & e GRC to own the product roadmap for a Forward Deployed Engineering pod.<br>This role sits at the intersection of enterprise product management, applied AI, technical prototyping, cybersecurity, and customer delivery. You will work closely with users, technical stakeholders, and Forward Deployed Engineers to turn complex operational problems into secure, production-ready products and reusable platform capabilities. The ideal candidate is technically fluent, comfortable working with ambiguity, and capable of moving from user discovery and prototyping through rollout, adoption, and continuous product improvement.<br>Key Responsibilities Own and maintain the product roadmap for the FDE pod, prioritizing customer problems, pilots, production hardening, and reusable product capabilities. Work with internal users and technical stakeholders to understand workflows, data sources, constraints, risks, and success criteria. Translate ambiguous operational needs into clear product direction, requirements, workflows, acceptance criteria, priorities, and release plans. Shape AI-enabled workflows involving LLMs, RAG, agents, extraction, classification, summarization, and decision support. Define quality measures, evaluation requirements, feedback loops, model trade-offs, and human-in-the-loop controls. Use Python, SQL, notebooks, and Figma to explore ideas, test assumptions, clarify requirements, and communicate product concepts. Partner with FDEs on rollout planning, operational readiness, documentation, monitoring, stakeholder communication, and user adoption. Incorporate security, privacy, auditability, access control, data handling, on-premises deployment, air-gapped environments, and constrained networks into product decisions. Gather field feedback and convert recurring customer needs into reusable product features and implementation patterns.<br>Required Qualifications Senior-level product management experience with technical, enterprise, data, AI, platform, or applied software products. Strong technical fluency across AI-enabled applications, data workflows, APIs, enterprise integrations, and production deployment constraints. Proven ability to translate ambiguous operational problems into product requirements, workflows, priorities, acceptance criteria, and release plans. Hands-on prototyping ability using Python, SQL, notebooks, and design tools such as Figma. Strong understanding of trade-offs among user value, speed, security, reliability, maintainability, and adoption. Experience partnering closely with engineering teams through pilot, production rollout, and product iteration. Excellent written and verbal communication skills. Confidence leading requirements sessions, roadmap discussions, internal demos, and stakeholder alignment.<br>Preferred Experience Applied AI Product Management: Experience with LLM applications, RAG, AI agents, evaluations, feedback loops, prompt and workflow iteration, model trade-off analysis, and responsible human-in-the-loop product design.e GRC Products: Strong preference for experience with enterprise GRC or e GRC products, including:Risk and control management Compliance workflows Evidence collection Policy management Audit readiness Issue remediation Third-party risk Regulatory reporting Workflow design for regulated organizations<br>Enterprise Delivery and Production Systems Experience with product roadmaps, release planning, pilot-to-production transitions, enterprise integrations, adoption metrics, documentation, support models, and operational readiness.<br>Cybersecurity and Sensitive Environments Experience with cybersecurity, security operations, IAM, audit logging, data classification, regulated data environments, on-premises deployments, air-gapped systems, or constrained networks.<br>We are looking for:You are a technically fluent product leader who can move between user problems, AI workflows, data, system constraints, engineering implementation, and business outcomes. You are comfortable entering an ambiguous environment, asking the right questions, building lightweight prototypes, making practical trade-offs, and driving a product from early discovery into reliable production use. You care about adoption and operational impact as much as product features.<br>What We Offer Opportunity to shape high-impact AI products used in real enterprise and regulated environments. Close collaboration with Forward Deployed Engineers, AI engineers, security experts, and business stakeholders. Ownership of products from early discovery through production rollout and scaled adoption. Exposure to complex enterprise, cybersecurity, and international customer scenarios. A highly technical, international, and results-oriented team environment. Company-sponsored technical learning, professional development, and certification support.

Overview<br><br>The Manager - Analytics will drive the growth of econometric marketing studies (Marketing Mix Modelling) with clients while also innovating and developing the agency offering in this regard. This will involve managing client relationships from initial project pitching, to regular updates during the project, as well as final presentation creation and delivery. On an internal level, it includes being involved with project execution and managing resources who are working on the project to ensure timely deliverables. They will also be responsible for keeping up to date with market trends in the space and ensuring that the product is continuously being evolved and incorporating local and global innovations to remain competitive in the industry.<br><br>Responsibilities<br><br>Technical & Product<br><br>Comfortable using econometric software (Strata QED, Mass Ter, SAS, etc.) Comfortable programming multiple linear regression models in a language of choice (Python or R) Open to exploring and evaluating alternative tools for econometrics purposes<br><br>Business Acumen & Operational Efficiency<br><br>Continually search for growth opportunities with prospective clients Project manage econometrics projects from pitching, data collection and processing, modelling through to delivery Manage client relations and keep them updated throughout with regards to project status and issues Build econometric (MMM) models of the highest standards while keeping in mind evaluation metrics around fit, robustness, and predictive power Convey the results of the MMM models in ways that are easy to understand and actionable for clients Be comfortable debating and explaining complex concepts (regression, goodness of fit metrics, diminishing returns) with clients<br><br>Innovative & Analytical Mindset<br><br>Ensure that the Groupe offering in the MMM space is competitive with industry competition Always look to innovate and add value to clients through the product Be open to automation / outsourcing / efficiency gains in every part of the modelling process, and look to reduce time spent while maintaining output quality<br><br>People & Leadership<br><br>Seeks others' feedback to develop self-awareness, strengths and address development area. Is able to proactively raise issues to improve effective team working and collaboration. Is able to communicate confidently in a clear, concise and articulate manner. Collaborates with stakeholders and embraces an inclusive based environment. Is able to make valuable contributions to discussions and brainstorming sessions, providing insight and point of view. Able to build relationships quickly with others and engages personally with peers and clients. Treats others with respect, listens to other perspectives, especially when they are different from own. Able to tackle problems in a timely manner and develop contingency plans that focus on problem resolution. Drives a culture of trust with Peers, clients and all other stakeholders.<br><br>Self<br><br>Is able to take ownership for actions and deals with consequences in a mature manner. Able to adjust performance based on experiences and feedback and showcases agility and flexibility. Displays openness to the ideas of others and leverages them when beneficial for the business. Showcases curiosity and open mindset towards new ways of doing things. Is able to set high impact objectives and goes above and beyond to exceed performance. Demonstrates the Growth Mindset and is able to take ownership of personal development and growth. Capable of constructively challenging the status-quo and takes risks to challenge internal and external perspectives. Approaches situations and individuals with honesty, integrity and humbleness. Displays resilience and maintains drives and a positive outlook when faced with challenges.<br><br>Qualifications<br><br>Bachelor’s Degree in Mathematics, Statistics, Economics, Computer Science or similar Fluent in English and Arabic 2-3 years of experience building econometric models and presenting model results to external parties Excellent written, visual, and verbal communication skills and ability to transform data into a concise, yet compelling story Ability to synthesize information and produce insightful and accurate analysis and recommendations Highly organized and impeccable attention to detail. Able to handle multiple projects simultaneously and deliver accurate reports without grammatical or data errors Strong sense of responsibility, takes ownership, self-starter, and proactive attitude Ability to think of the bigger picture and link performance data to business actions Skilled user of MS Office Suite including Excel and Power Point Experience with econometrics software such as Strata QED, Mass Ter, etc. Familiarity with programming language/logic preferred (Python or R)<br><br>Additional Information<br><br>R-2239P-2524

Infrastructure & Cloud Engineer Dubai, UAEBuild the platforms that power world-class engineering<br>At Black & White Engineering, we're investing heavily in the future of our cloud, infrastructure, data, and AI capabilities. We're looking for an Infrastructure & Cloud Engineer who wants more than just operational support work. This is an opportunity to take ownership of a modern Microsoft Azure environment, contribute to the development of advanced data and AI platforms, and support the high-performance computing environments that enable some of the world's most complex engineering projects.<br>You'll work across cloud infrastructure, identity, automation, security, data platforms, AI workloads, and HPC environments, helping shape scalable and resilient platforms that support teams across Europe, the Middle East, Asia, and Australia.<br>This role offers exposure to Azure cloud technologies, Databricks, AI infrastructure, Infrastructure as Code, automation, Zero Trust security principles, and enterprise-scale platform engineering. If you're looking to expand your technical breadth while working in a highly collaborative environment, this could be an excellent next step in your career.<br>What you'll be doing Cloud & Infrastructure Managing and optimising Microsoft Azure environments including compute, storage, networking, and platform services Supporting Azure Landing Zones and cloud platform foundations Maintaining secure, scalable, and cost-efficient cloud infrastructure Managing patching, lifecycle activities, operating system hardening, and platform governance Driving environment consistency through Infrastructure as Code and automation Identity & Security Managing Microsoft Entra ID, Conditional Access, MFA, RBAC, and Privileged Identity Management Supporting Zero Trust initiatives in collaboration with Cyber Security teams Maintaining secure access controls and governance standards Data, AI & Modern Platforms Supporting Databricks, Azure Data Lake, and modern data platform infrastructure Assisting with AI and machine learning environments including Azure Open AI services and GPU-based workloads Managing platform monitoring, performance, security, and cost optimisation Supporting storage lifecycle management and governance frameworks HPC & Engineering Systems Operating Linux-based High Performance Computing environments Supporting engineering applications, licensing platforms, and compute resources Managing storage and performance requirements for engineering workloads Contributing to future HPC growth and capacity planning Automation & Operational Excellence Automating infrastructure operations using Terraform, Python, Power Shell, and Bash Supporting CI/CD pipelines and Dev Ops practices Maintaining operational documentation, runbooks, and disaster recovery procedures Driving continuous improvement across infrastructure and cloud services<br>What's in it for you? Ownership of critical cloud and infrastructure platforms across a global engineering business Exposure to Azure, Databricks, AI infrastructure, automation, and modern platform engineering Opportunity to work on emerging technologies including Azure Open AI and AI/ML environments Hands-on involvement in cloud transformation and platform modernisation initiatives Collaboration with Infrastructure, Network, Security, Business Solutions, and Engineering teams A chance to influence platform standards, automation strategies, and future technology roadmaps International exposure supporting teams across multiple regions A supportive environment focused on professional development and technical growth<br>What we're looking for We're interested in professionals who bring experience across several of the following areas:Microsoft Azure infrastructure and services Microsoft Entra ID and identity management Intune and endpoint management Infrastructure as Code using Terraform Linux administration (RHEL and/or Ubuntu) Scripting and automation using Python, Power Shell, or Bash Backup, disaster recovery, and business continuity Cloud cost optimisation and capacity planning CI/CD and Dev Ops practices<br>Experience with Databricks, Azure Data Lake, Microsoft Fabric, Azure Open AI, container platforms, HPC environments, or hybrid cloud architectures would be advantageous. About Black & White Engineering<br>Black & White Engineering is a leading multi-disciplinary engineering consultancy specialising in the design and delivery of mission-critical and highly technical facilities across the globe. With offices spanning Europe, the Middle East, Asia, and Australia, we partner with some of the world's most recognised organisations to deliver innovative and sustainable engineering solutions. Our culture is built around Accountability, Integrity, Simplicity, Support, and Quality. We believe in empowering our people, encouraging innovation, and creating an environment where talented professionals can develop their careers while making a meaningful impact. Interested?<br>If you're passionate about cloud infrastructure, automation, modern platforms, and emerging technologies, we'd love to hear from you.<br>Apply now and help shape the future of infrastructure and cloud engineering at Black & White Engineering.

Job title: Enterprise Architect Department: Engineering Department<br>JOB PURPOSE:The Enterprise Architect will be responsible for defining, governing and evolving the enterprise technology strategy, target architecture and engineering architecture standards across the organization. The role establishes enterprise-wide reference architectures, technology roadmaps, architecture principles and governance practices across multiple technology stacks including Java, . NET and Python, as well as cloud, integration, data, security and platform engineering domains. The Enterprise Architect will work closely with engineering leadership, solution architects, product, Dev Ops, QA, security, data, vendors and business stakeholders to ensure technology investments are scalable, secure, resilient, cost-effective and aligned with business strategy and long-term platform modernization goals.<br>KEY ACCOUNTABILITIES:Description:• Define and maintain the enterprise architecture vision, target-state architecture and multi-year technology roadmap for the engineering department.• Establish architecture principles, standards, patterns and reference architectures across application, integration, data, infrastructure, cloud, security and observability domains.• Govern enterprise system designs across multiple technology stacks including Java/Spring Boot, . NET/. NET Core/C#, Python/Fast API/Django/Flask and related ecosystem technologies.• Lead architecture governance forums, design review boards and technical decision-making processes to ensure consistency, quality and strategic alignment across engineering initiatives.• Partner with solution architects and engineering leads to review solution blueprints, HLD/LLD documents, C4 models, UML diagrams, deployment views, integration flows and API specifications.• Define enterprise standards for microservices, modular architecture, service-oriented architecture, event-driven architecture, API-led integration and domain-driven design.• Develop enterprise cloud architecture strategy across Azure, AWS and GCP, covering landing zones, network patterns, identity, compute, storage, databases, containers, Kubernetes, serverless and managed services.• Drive platform modernization, legacy transformation, cloud migration, re-platforming, refactoring and technical debt reduction programs across products and engineering platforms.• Define enterprise integration architecture including API gateways, service mesh, event streaming, message queues, ETL/ELT pipelines, third-party integrations and partner connectivity.• Guide data architecture decisions covering relational databases, NoSQL, caching, search, data pipelines, reporting, master data, data governance and analytical workloads.• Define secure-by-design architecture standards covering IAM, OAuth2/OIDC, SSO, Azure AD/Entra ID, secrets management, encryption, compliance, auditability and secure API design.• Establish non-functional requirement standards for scalability, performance, resilience, high availability, disaster recovery, observability, maintainability, operability and cost efficiency.• Collaborate with Dev Ops and platform teams to define enterprise CI/CD, infrastructure as code, environment strategy, release governance, monitoring, logging, tracing and operational readiness practices.• Evaluate and recommend enterprise technology platforms, frameworks, tools and vendors through trade-off analysis, POCs, prototypes, cost assessment and risk evaluation.• Create architecture decision records, technology selection guidelines, lifecycle standards, deprecation plans and risk mitigation plans for complex enterprise initiatives.• Support engineering leadership in portfolio planning, capability mapping, technology investment prioritization, capacity planning and cross-team dependency management.• Provide architecture-level guidance for critical production, performance, reliability, scalability, security and integration issues across enterprise systems.• Mentor solution architects, technical leads and senior engineers on system design, enterprise architecture practices, documentation quality, engineering standards and design reviews.• Represent engineering architecture in discussions with executive leadership, business stakeholders, vendors, clients and external partners.• Maintain enterprise architecture repositories, standards, roadmaps and governance documentation in Confluence or similar platforms.<br>QUALIFICATIONS, EXPERIENCE & SKILLS:Minimum Qualifications:• Bachelor's degree in Computer Science, Computer Engineering, Information Technology or a related technical discipline, or equivalent practical experience. Minimum Experience:• 15+ years of relevant technology experience, including hands-on engineering background and 7+ years in architecture, enterprise architecture, solution design or senior technical leadership roles. Knowledge and Skill Requirements:• Strong enterprise architecture experience across complex engineering organizations, large-scale platforms, digital products and distributed systems.• Proven ability to define enterprise architecture strategy, target architecture, reference architectures, technology roadmaps, standards and governance frameworks.• Deep technical understanding of multiple technology stacks including Java/Spring Boot, . NET/. NET Core/C#, Python/Fast API/Django/Flask and modern backend frameworks.• Strong knowledge of enterprise architecture frameworks and practices such as TOGAF, Zachman, capability mapping, value streams, architecture governance and architecture decision records.• Expertise in microservices, domain-driven design, service-oriented architecture, modular monoliths, event-driven architecture, API-led integration and cloud-native design patterns.• Ability to review and guide HLD/LLD documents, UML diagrams, C4 models, sequence diagrams, deployment diagrams, integration architecture documents and API specifications.• Hands-on background with REST, g RPC, Graph QL, Open API/Swagger, API gateways, service mesh, load balancing, service discovery and fault-tolerance patterns.• Strong knowledge of cloud platforms such as Azure, AWS or GCP, including enterprise landing zones, networking, identity, compute, storage, managed databases, monitoring, scaling, availability and cost optimization.• Experience with containers, Docker, Kubernetes, Helm, serverless architecture, platform engineering and cloud-native deployment models.• Strong understanding of data architecture including relational databases, NoSQL, caching, search, data integration, data pipelines, reporting, data governance and analytical workloads.• Experience with database platforms such as MySQL, Oracle, MS SQL Server, Postgre SQL, Mongo DB or equivalent technologies, including data model review and SQL optimization considerations.• Experience with messaging and event streaming platforms such as Kafka, Rabbit MQ, Azure Service Bus, AWS SQS/SNS or equivalent technologies.• Strong security architecture knowledge including OAuth2/OIDC, SSO, Azure AD/Entra ID, IAM, secrets management, encryption, cryptography basics, secure API design and compliance considerations.• Ability to define and govern non-functional requirements for scalability, performance, resilience, high availability, disaster recovery, observability, maintainability and cost efficiency.• Strong understanding of Dev Ops practices, CI/CD, Git, infrastructure as code, automated testing, release governance, environment strategy and operational readiness.• Experience with observability platforms such as ELK/Elastic, Prometheus, Grafana, Splunk, App Dynamics, New Relic or cloud-native monitoring, logging and tracing tools.• Ability to evaluate technologies, vendors and platforms through structured trade-off analysis, POCs, prototypes, cost-benefit analysis and risk assessment.• Strong understanding of object-oriented programming, SOLID principles, clean architecture, design patterns, algorithms and data structures.• Experience supporting Agile delivery, portfolio planning, sprint readiness, backlog refinement, cross-team dependency management and engineering delivery governance.• Familiarity with JIRA, Confluence, architecture repositories, documentation governance and architecture knowledge management practices.• Excellent stakeholder management, communication and presentation skills, with the ability to influence executive, business, product and engineering audiences.• Ability to mentor architects and engineering leaders, resolve design conflicts, drive consensus and maintain consistent architecture quality standards.• Self-motivated, detail-oriented and collaborative, with strong analytical, problem-solving, strategic thinking and continuous improvement mindset.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Operationalizes AI: deployment, monitoring, cost, and governance for models and LLM applications running in production.&nbsp;</p><p><br></p><p><b>What you'll do</b></p><ul><li>Build CI/CD pipelines for model and LLM application deployment&nbsp;</li><li>Stand up model monitoring, versioning, and rollback systems&nbsp;</li><li>Manage cost, latency, and reliability of production AI workloads&nbsp;</li><li>Implement governance controls: access management, audit logging, usage tracking&nbsp;</li><li>Partner with the security team on AI-specific compliance requirements&nbsp;</li><li>Support multi-cloud AI infrastructure across AWS, Azure, and GCP</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>What you bring</b></p><ul><li>4+ years in DevOps or platform engineering, including 1–2+ years specific to ML/AI systems&nbsp;</li><li>Experience with Kubernetes, Docker, and Terraform or an equivalent infrastructure-as-code tool&nbsp;</li><li>Familiarity with MLOps tooling such as MLflow, Kubeflow, SageMaker, or Vertex AI&nbsp;</li><li>Strong scripting ability in Python or Go, with CI/CD pipeline experience&nbsp;</li><li>Working understanding of model versioning, monitoring, and cost optimization practices&nbsp;</li></ul><p><b>Nice to have</b></p><ul><li>Experience with LLM-specific observability tools such as LangSmith or Arize&nbsp;</li><li>AWS, Azure, or GCP cloud certification&nbsp;</li></ul><p><br></p></div>

<br><ul><li><p>Collect, analyze, and interpret data from multiple sources.</p></li><li><p>Develop and maintain MIS reports, dashboards, and KPIs.</p></li><li><p>Generate daily, weekly, and monthly business reports.</p></li><li><p>Ensure data accuracy, consistency, and integrity across systems.</p></li><li><p>Design and automate reports using Excel, SQL, Power BI, or other BI tools.</p></li><li><p>Monitor business performance and identify trends or anomalies.</p></li><li><p>Support management with data-driven insights and recommendations.</p></li><li><p>Coordinate with different departments to gather reporting requirements.</p></li><li><p>Maintain databases and troubleshoot data-related issues.</p></li><li><p>Document reporting processes and maintain MIS standards.</p></li><li><p>Assist in process improvement and reporting automation initiatives.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><p>Required Qualifications</p><ul><li><p>Bachelor's degree in Computer Science, Information Technology, Business Administration, Statistics, or a related field.</p></li><li><p>2–5 years of experience in MIS, business analysis, or data reporting.</p></li><li><p>Strong analytical and problem-solving skills.</p></li><li><p>Excellent communication and presentation skills.</p></li></ul><p>Technical Skills</p><ul><li><p>Advanced Microsoft Excel (Pivot Tables, Power Query, Power Pivot, VBA preferred)</p></li><li><p>SQL</p></li><li><p>Power BI or Tableau</p></li><li><p>Microsoft Office Suite</p></li><li><p>ERP/CRM systems (SAP, Oracle, Dynamics, etc.)</p></li><li><p>Basic knowledge of Python or R is an advantage.</p></li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Execute daily data ingestion pipelines, ensuring timely and accurate data flow from various sources into our data lake.</p></li><li><p>Monitor data quality and integrity, proactively identifying and resolving anomalies or inconsistencies to maintain data trustworthiness.</p></li><li><p>Perform routine data cleansing and transformation tasks using SQL and scripting languages to prepare data for analysis and reporting.</p></li><li><p>Assist in the maintenance and troubleshooting of data infrastructure, including databases and ETL tools, to ensure optimal performance.</p></li></ul><p><br></p><p><strong>⚠️ IMPORTANT APPLICATION INSTRUCTIONS — PLEASE READ BEFORE APPLYING</strong> We do not review applications submitted via standard resume uploads alone. To be considered for this role, you must complete a brief, 5-minute video response to our 4 core interview questions.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Information Technology, or a related quantitative field.</li><li>0-2 years of hands-on experience in data operations, database management, or a similar analytical role.</li><li>Proficiency in SQL for data querying, manipulation, and basic database administration.</li><li>Familiarity with scripting languages like Python or R for data automation and processing tasks.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Design, develop, and maintain company websites and web applications.</p></li><li><p>Develop and support mobile and desktop applications as required.</p></li><li><p>Manage software projects independently from planning to implementation.</p></li><li><p>Troubleshoot, debug, and resolve technical issues efficiently.</p></li><li><p>Optimize application performance, security, and scalability.</p></li><li><p>Perform regular updates, maintenance, and system enhancements.</p></li><li><p>Integrate third-party APIs and software solutions when required.</p></li><li><p>Ensure proper documentation of systems, processes, and developments.</p></li><li><p>Coordinate with management and other departments to understand business requirements and deliver effective solutions.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or a related field.</p></li><li><p>Minimum <strong>3–4 years of proven experience</strong> in software development.</p></li><li><p>Strong knowledge of web technologies such as HTML, CSS, JavaScript, PHP, Python, .NET, or similar frameworks.</p></li><li><p>Experience with database management systems such as MySQL, PostgreSQL, or SQL Server.</p></li><li><p>Knowledge of mobile application development will be an advantage.</p></li><li><p>Familiarity with cloud services, hosting environments, and website security.</p></li><li><p>Ability to work independently and manage multiple tasks with minimal supervision.</p></li><li><p>Strong problem-solving and analytical skills.</p></li><li><p>Excellent communication and organizational abilities.</p></li></ul><p></p></section>

<ul><li><p>Oracle 12c Administration</p></li><li><p>Hyperledger Fabric v1.4: Network Engineering, Design and Deployment</p></li><li><p>Automating Administration with Windows PowerShell (Course 10961)</p></li><li><p>Cybersecurity Fundamentals</p></li><li><p>Microsoft 365 Fundamentals</p></li><li><p>Microsoft Azure Fundamentals</p></li><li><p>Oracle 12c R2 RAC Administration</p></li><li><p>Microsoft Azure Database Administration</p></li><li><p>Artificial Intelligence for Business Professionals</p></li><li><p>Developing Applications for the Java EE 7 Platform</p></li><li><p>Implementing a SQL Server 2016 Data Warehouse</p></li><li><p>ISO/IEC 27002 Training Courses and Lead Manager Certification</p></li><li><p>Oracle Database Cloud</p></li><li><p>Certified Artificial Intelligence Practitioner</p></li><li><p>Microsoft Office 365 Administration Certificate</p></li><li><p>Cybersecurity Operations Certificate</p></li><li><p>Certificate in Information Systems Risk and Control</p></li><li><p>Certified Network Associate Certificate</p></li><li><p>Professional Certificate in Cybersecurity Fundamentals</p></li><li><p>Certified Ethical Hacking and Forensic Investigation Professional Certificate</p></li><li><p>Professional Certificate in Information Technology Privacy</p></li><li><p>ISO/IEC 27001 Lead Auditor for Information Security Training</p></li><li><p>Certified Information Privacy Manager</p></li><li><p>Microsoft Azure IoT Developer</p></li><li><p>Introduction to Cybersecurity</p></li><li><p>Introduction to Python</p></li><li><p>Introduction to Oracle Database Programming Language</p></li><li><p>Certified Practitioner in Internet of Things</p></li><li><p>Oracle Database Administration Workshop</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Develop the section's work plans and mechanisms, and contribute to achieving the department's objectives through supervision and follow-up on all executive tasks within the related operational plan.</p><p>Minimum Qualification Experience (Years)</p><p>PhD - Information Technology - 0</p><p>Master's Degree - Information Technology - 3 years</p><p>Bachelor's Degree - Information Technology - 6 years</p></li></ul>

<ul><li>Lead cross-functional teams to define, design, and deliver innovative technical solutions that align with business objectives.</li><li>Conduct regular technical assessments to identify areas for improvement and implement best practices in project management.</li><li>Oversee the development lifecycle, ensuring quality control and adherence to project timelines and budgets.</li><li>Act as the primary technical liaison between stakeholders, ensuring clear communication of project goals, risks, and progress.</li><li>Mentor and develop junior technical staff, fostering an environment of continuous learning and skill enhancement.</li><li>Evaluate and integrate emerging technologies to enhance product offerings and operational efficiency.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Engineering, or a related field; a master's degree is preferred.</li><li>Professional certifications such as PMP, ITIL, or Agile are highly desirable to validate project management expertise.</li><li>Experience in the software development industry, with a strong understanding of both front-end and back-end technologies.</li><li>Proficient in programming languages such as Java, Python, or C#, along with familiarity with cloud platforms like AWS or Azure.</li><li>Excellent communication skills in English; proficiency in additional languages is a plus.</li><li>Strong analytical and problem-solving skills to address technical challenges effectively.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br><br>This role requires a hands-on Data Engineer who has personally delivered and operated a full data lake on Azure. You will initially partner on build, then take full ownership of platform performance, scalability, and evolution.<br><br>Client Details<br><br>A multi-regional organisation undergoing a large-scale digital transformation focused on modern data platforms. The business is investing heavily in enterprise-grade cloud, data, and analytics capabilities<br><br>Description<br>Design and build Azure-based data lake (ADLS, ADF, Synapse/Fabric)Develop production-grade Spark pipelines (batch &amp; near real-time)Own data modelling for Power BI (star schema, semantic layers)Implement data governance, lineage, and quality controls (e.g. Purview)Take full ownership of platform BAU: monitoring, performance, cost<br><br><br>Profile<br>5-7 years' Data Engineering experience with at least 1 full data lake deliveryExpert in Azure stack (ADF, ADLS, Synapse/Fabric) + strong PySparkProven ownership of production pipelines (design, deploy, operate)Strong SQL &amp; Python; experience with APIs, ERP integrations (e.g. D365)Demonstrated experience structuring data specifically for Power BI<br><br><br>Job Offer<br>End-to-end ownership of a business-critical data platformExposure to large-scale transformation and senior stakeholders<br><br> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills">Azure Data Engineer <br> </div>

<p>This role sits within a high-performing engineering team delivering advanced investment and portfolio products. You'll play a key role in shaping automation strategy and ensuring robust, scalable test coverage. You will work closely with developers to embed quality across the development lifecycle, leveraging modern tools and AI-assisted techniques to improve speed, accuracy, and reliability. Client Details Our client is a leading financial services organisation dedicated to building innovative, technology-driven investment platforms. Description * Design and build scalable UI and API automation frameworks * Deliver end-to-end testing for investment and portfolio platforms * Develop reliable automated test suites using modern tooling * Collaborate closely with engineers to embed quality from the outset * Contribute to innovative QA practices, including AI-assisted testing Job Offer * Exposure to cutting-edge fintech projects * Opportunity to work on complex, data-rich investment platforms * Collaborative environment driving innovation in QA and automation</p><p>* Strong automation experience using Playwright (UI and API testing) * Proficient in JavaScript/TypeScript or Python programming * Experience within fintech, wealth, or investment platforms * Solid understanding of concepts such as NAV, AUM, and portfolios * Hands-on experience with CI/CD pipelines and test frameworks</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li>Lead cross-functional teams to define, design, and deliver innovative technical solutions that align with business objectives.</li><li>Conduct regular technical assessments to identify areas for improvement and implement best practices in project management.</li><li>Oversee the development lifecycle, ensuring quality control and adherence to project timelines and budgets.</li><li>Act as the primary technical liaison between stakeholders, ensuring clear communication of project goals, risks, and progress.</li><li>Mentor and develop junior technical staff, fostering an environment of continuous learning and skill enhancement.</li><li>Evaluate and integrate emerging technologies to enhance product offerings and operational efficiency.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Engineering, or a related field; a master's degree is preferred.</li><li>Professional certifications such as PMP, ITIL, or Agile are highly desirable to validate project management expertise.</li><li>Experience in the software development industry, with a strong understanding of both front-end and back-end technologies.</li><li>Proficient in programming languages such as Java, Python, or C#, along with familiarity with cloud platforms like AWS or Azure.</li><li>Excellent communication skills in English; proficiency in additional languages is a plus.</li><li>Strong analytical and problem-solving skills to address technical challenges effectively.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Job description:</strong></p><p>We are a rapidly growing trading company operating across multiple international markets. We are expanding our AI and Digital Transformation team and are looking for talented AI Specialists who can contribute to the development of advanced AI solutions while supporting our global business operations.</p><p>We value innovation, diversity, and entrepreneurial thinking. Our workplace offers a dynamic environment where technology, commerce, and international business come together. We are looking for ambitious young professionals between 18-20 years old who:</p><ul><li><p>Are passionate about Artificial Intelligence.</p></li><li><p>Enjoy working in multicultural environments.</p></li><li><p>Have strong commercial awareness.</p></li><li><p>Are eager to learn and grow with the company.</p></li><li><p>Can adapt quickly to changing business needs.</p></li></ul><br></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Required Qualifications</p><ul><li><p>Minimum 2 years of practical experience in Artificial Intelligence, Machine Learning, Data Science, or related fields.</p></li><li><p>Strong proficiency in Python and AI/ML frameworks.</p></li><li><p>Experience with Generative AI, Large Language Models (LLMs), and AI automation tools.</p></li><li><p>Excellent analytical and problem-solving abilities.</p></li><li><p>Strong communication and teamwork skills.</p></li><li><p>Ability to thrive in a fast-paced trading environment.</p></li><li><p>OpenAI APIs</p></li><li><p>AI Agents</p></li><li><p>Business Intelligence Platforms</p></li><li><p>Cloud Computing</p></li><li><p>Data Warehousing</p></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Collaborate with business and technology stakeholders to understand analytical needs and translate them into AI solutions.</p></li><li><p>Design and implement AI/ML pipelines, including data ingestion, model training, evaluation, and deployment.</p></li><li><p>Develop and maintain GenAI and agentic AI applications using modern frameworks and cloud-native tools.</p></li><li><p>Ensure solutions are aligned with enterprise AI governance, security, and compliance standards.</p></li><li><p>Provide production support and continuous improvement for deployed models and applications.</p></li><li><p>Contribute to knowledge sharing and capability building within the team.- Respect timelines</p></li><li><p>Good communication skills</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><br><ul><li><p>8+ years of experience in AI/ML engineering, with recent focus on GenAI and agentic AI.</p></li><li><p>Hands-on experience on AWS and Azure.</p></li><li><p>Hands-on experience with CrewAI, LangChain, LangGraph, RAG pipelines, and LLM fine-tuning.</p></li><li><p>Strong programming skills in Python and experience with FastAPI, REST APIs, and microservices.</p></li><li><p>Proficiency in cloud platforms (AWS, Azure) and MLOps tools (Vertex AI, SageMaker, MLflow).</p></li><li><p>Experience with DevOps practices including CI/CD, containerization (Docker), and infrastructure-as-code (Terraform, CloudFormation).</p></li><li><p>Familiarity with vector databases (e.g., FAISS, ChromaDB) and graph-based reasoning (e.g., Neo4j).</p></li></ul><p>Exposure to financial services or Global Markets, specifically Murex is a plus.</p><p>.</p></li></ul><p></p></section>