Python Developer Jobs in UAE

Who We Are<br><br>NEXT Ventures is where ambition takes shape and momentum becomes movement. As a global platform revolutionising access to performance-based capital, we empower the world’s most driven individuals to rise. Through our flagship brand, Funded Next, we empower dreamers to become doers, and potential to turn into performance. With 500+ driven minds across five countries, we power a global rhythm — 220,000+ daily users from 170+ nations, each chasing greatness in their own way.<br><br>Your Role in Our Mission<br><br>We're growing our Platform Engineering team and looking for a Dev Sec Ops Engineer who lives and breathes modern Dev Sec Ops and cloud-native practices. You'll help build, automate, secure, and operate the infrastructure behind multiple customer-facing Saa S products running on AWS and Kubernetes, fronted by Cloudflare at the edge.<br><br>This is a hands-on role for someone who treats infrastructure as code, automates relentlessly, and uses AI tooling to move faster without cutting corners. You'll share ownership of reliability, deployment pipelines, and platform tooling — and have real influence over how we scale as the team and the load grow.<br><br>How You’ll Make An Impact<br><br>Build and operate cloud-native infrastructure on AWS using infrastructure-as-code. Own and improve CI/CD pipelines — making deployments faster, safer, and more self-service for product engineering teams. Run and harden Kubernetes (EKS) workloads: scaling, resource management, observability, and cluster health. Manage edge, CDN, and security through Cloudflare — DNS, WAF, rate limiting, and DDoS protection. Embed security into the platform — secrets management, least-privilege IAM, and shift-left practices baked into pipelines. Leverage AI tooling (coding assistants, automation, ops copilots) to accelerate delivery, reduce toil, and improve quality. Participate in a shared on-call rotation with solid runbooks and blameless post-incident reviews. Continuously reduce manual toil through automation and better tooling.<br><br><br>What You Bring<br><br>3–5 years of hands-on experience in Dev Ops or Infrastructure engineering. Strong command of Dev Ops practices and tooling — CI/CD, version control (Git), automated testing/deployment, and configuration management. Solid cloud-native experience: containers (Docker), orchestration (Kubernetes), and a major cloud provider (AWS strongly preferred). Proficiency with infrastructure-as-code (Terraform, Cloud Formation, Pulumi, or similar). Scripting/automation ability in Python, Bash, or Go. Security-aware engineering — secrets management, least-privilege IAM, and shift-left security baked into pipelines. Edge / CDN / WAF experience — managing DNS, WAF, and DDoS protection at the edge (Cloudflare strongly preferred). AI-efficient mindset — you actively use AI/LLM tools to boost productivity and problem-solving, and have good judgment about where they help and where they don't. Strong troubleshooting instincts across DNS, CDN, networking, origin, and application layers. You must demonstrate active, daily use of modern AI agentic workflows — well beyond basic Chat GPT prompts or Copilot autocomplete. We expect fluency with AI coding agents (Claude Code, Cursor, Windsurf, or similar), project-level AI configuration (CLAUDE.md, rules files), agentic task delegation, and AI-driven code review. The bar is 5–10x productivity through AI-augmented development. Candidates who are not AI-native in their engineering workflow will not advance. Deep hands-on Cloudflare experience — WAF custom rules, Workers, Bot Management, or Turnstile. Strong Cloudflare knowledge is a significant advantage and will be prioritized. Experience operating fintech, trading, or other high-availability / regulated platforms. EKS-specific production experience (HPA, cluster autoscaling, PDBs, service mesh).<br><br><br>Your Journey After Applying<br><br>30-minute HR session with the Talent Acquisition team.60-minute technical session with the Platform Squad Lead (hiring manager). Technical assessment — a hands-on infrastructure / system-design exercise. Final session with Engineering leadership.<br><br><br>Why Join NEXT<br><br>At NEXT Ventures, performance is more than numbers — it’s the pulse that drives innovation and impact. Join us to build and harden the platform that lets a global community of traders perform at their best, every second of every day. Here, infrastructure isn’t a back office — it’s the engine room of the entire business, and the engineers who run it shape how fast we can grow.<br><br>Your next chapter in building at scale begins here.<br><br>Experience level: Senior

Greetings,<br>We have an immediate opening for a Technical Architect / Engineering Lead at Synechron in Abu Dhabi.<br>Role: Technical Architect / Engineering Lead Experience: 10+ Years Location: Abu Dhabi Employment type: Full-time Domain: Banking <br>About Company:Synechron is a global technology consulting firm that helps leading organizations accelerate digital transformation through innovation, expertise, and agility. With more than 16,500 professionals across around 60 offices in over 20 countries, we combine deep industry knowledge with advanced capabilities in AI, cloud, cybersecurity, and data engineering. Our regional teams, supported by strategic delivery centers, provide scalable, cost-efficient solutions tailored to local markets. Through our award-winning Synechron Fin Labs accelerators and strategic partnerships with AWS, Microsoft, Databricks, Salesforce, and Service Now, we enable clients to innovate fast and lead with confidence. For more information on the company, please visit our website or Linked In community. Synechron: Technology and AI Consulting for Business Synechron is an innovative global consulting firm delivering industry-leading digital solutions to transform and empower businesses.<br>Diversity, Equity, and Inclusion<br>Synechron’s Diversity, Equity, and Inclusion (DEI) program, Same Difference, was developed because we believe in a culture of listening, respect, and opportunity. We each bring unique backgrounds, thoughts, talents, and experiences with us to work every day, and we know that by embracing them, we are creating an even greater Synechron. The best way to build a strong team is to value individual differences. So, it doesn’t matter where you’re from or what you’ve had to do to get here – if you have the skills, enthusiasm, and drive to make your mark, we’ll support you like we support each other. Choose a career with us and let’s pursue innovation, together.<br> Job Descriptions: A hands-on technical architect / engineering lead embedded with feature teams across IBM Technology. The role codes, builds solutions from scratch, and enforces software engineering best practices (DDD, TDD, SOLID, Hexagonal Architecture, Twelve-Factor App) while delivering reusable building blocks. The Technical Architect also animates a developer community of practice to elevate engineering maturity across all squads.<br>Key Responsibilities:Hands-On Engineering Code alongside squads: DDD (Bounded Contexts, Aggregates, Domain Events), Hexagonal Architecture, SOLID, TDDEnsure Twelve-Factor App compliance for all cloud-native services Software Factory & CI/CDDefine and enforce CI/CD pipelines, code review standards, trunk-based branching, static analysis (Sonar Qube), and API standards Establish observability patterns: structured logging, distributed tracing, correlation IDsCloud Adoption Drive cloud-native design patterns across squads: microservices, serverless, event-driven, container orchestration on AWS (primary) and Azure Enforce infrastructure-as-code (Terraform), cloud security best practices (IAM, secrets management, network segmentation), and cost-aware architecture Reusable Building Blocks Design and code shared libraries, starter kits, and project archetypes embedding all best practices Feature Team Enablement Pair-program, conduct code reviews, run workshops on DDD / TDD / SOLID / Hexagonal / Twelve-Factor Mentor developers to elevate overall engineering maturity Developer Community Animate Community of Practice: tech talks, coding dojos, hackathons Maintain an engineering playbook with patterns, anti-patterns, and reference implementations Expected Deliverables Engineering Playbook (DDD, TDD, SOLID, Hexagonal, Twelve-Factor, CI/CD, API standards) Reusable building blocks, starter kits, and project archetypes CI/CD pipeline templates for all service types Architecture Decision Records (ADRs) Monthly code quality and CoP activity reports Technical debt register<br>Skillset and Experience:Technical — Must-Have10+ years hands-on software development, building solutions from scratch Expert in Java (Spring Boot), C# (. NET Core), Python, or Kotlin Deep DDD, TDD/BDD, SOLID, Hexagonal / Clean Architecture, Twelve-Factor App CI/CD tooling (Git, Git Lab CI/CD); Docker, Kubernetes; Terraform / IaCCloud: AWS (EKS, MSK, Lambda, S3, RDS, IAM, Cloud Formation, API Gateway, SQS/SNS); Azure (AKS, Dev Ops, Service Bus, Key Vault). Event-driven architectures (Kafka, SQS/Service Bus/IBM MQ); API design (REST, g RPC, Open API) Security-by-design, observability, and code quality tooling (Sonar Qube, SAST/DAST) Domain — Strongly Preferred Capital Markets / Investment Banking: trade lifecycle, pricing, risk, market data Corporate finance and securities services Soft Skills Influences through craft, not authority; proven mentor and community builder Pragmatic: balances engineering excellence with delivery pressure Strong technical writing: ADRs, playbooks, engineering guides<br>Education:Bachelor's degree in Computer Science or related field. Certifications are a plus but not a substitute for hands-on craft.

From small businesses to some of the world’s best-known brands, our clients count on reliable financial statements, information, and processes to inform their on-going strategies. More than ever, business is about interpreting and reacting to complex data - and our clients look to us for advice and services they can trust every time. You will use your professional skills and experience to make it happen across a broad range of industries and responsibilities.<br><br>Our tailored external audit services help build trust and confidence through transparency, clarity and consistency. We are 79,000+ professionals based worldwide across 150 countries. Audit services involve reporting on the fairness in all material respects with which a client’s audited financial statements are presented, in conformity with the applicable financial reporting framework.<br><br>The Opportunity<br><br>EY is seeking a Credit Risk Modelling Audit Specialist to join our Assurance ECL Valuation team, focusing on the external audit of credit risk models (IFRS 9) for our MENA audit clients. This is a unique opportunity to work with leading financial institutions, leveraging your technical expertise to deliver high-quality assurance.<br><br>Key Responsibilities<br><br>Act as a technical specialist on the external audit of credit risk models (IFRS 9) at audit entities.<br><br>Conduct technical reviews of model development and validation documentation, including assessment of model performance and independent replication.<br><br>Review end-to-end credit risk processes, including governance, policy, and procedures.<br><br>Perform substantive testing and technical analysis for workstreams within IFRS 9 and credit risk modelling engagements.<br><br>Support a broad range of banking risk-related issues, contributing to both regional and national propositions.<br><br>Stay abreast of changing requirements in IFRS 9 and validate or build credit risk measurement models, including challenger models.<br><br>Skills And Attributes For Success<br><br>Technical Skills:<br><br>Experience in credit risk modelling within a financial or professional services firm. Practical knowledge of credit risk modelling techniques and regulatory requirements (IFRS 9, CECL). Hands-on experience in model development, validation, and performance assessment (including PD/EAD/LGD models for Retail/Wholesale banking). Proficiency in programming languages such as SAS, R, or Python. Strong understanding of credit risk processes, governance, and documentation.<br><br>Soft Skills:<br><br>Excellent oral and written communication skills. Strong planning, project management, and networking abilities. Ability to communicate risk/finance requirements across functions. Flexibility and agility to contribute to a broad range of banking risk engagements. Ability to mentor junior staff and enhance model creation. Strong analytical and problem-solving capabilities.<br><br>Qualifications:<br><br>A postgraduate degree in Finance, Economics, Mathematics, Statistics, or a related field. 3+ years of relevant experience in credit risk modelling or audit.5+ years of relevant experience is expected for managerial role. Experience with data extraction, pre-processing, modular model development, and model validation and model performance assessments.<br><br>What We Look For<br><br>We are interested in entrepreneurs who have the confidence to develop and promote a brand-new strategic vision both internally and externally. You will be business savvy with a passion for innovation as well as the motivation to create your own EY journey.<br><br>What We Offer<br><br>We offer a competitive compensation package where you’ll be rewarded based on performance and recognized for the value you bring to our business. Plus, we offer:<br><br>Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.<br><br>If you can demonstrate that you meet the criteria above, please contact us as soon as possible.<br><br>The Exceptional EY Experience. It’s Yours To Build.<br><br>EY | Building a better working world<br><br>EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.<br><br>Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.<br><br>Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Vacancy Announcement</strong></p><br> <p><strong>Secretariat of the International Renewable Energy Agency (IRENA)</strong></p><br> <p><strong>Knowledge, Policy and Finance Centre (KPFC)</strong></p><br> <p><strong>Publication/Transmission Date:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;15 July 2026</strong></p><br> <p><strong>Deadline for Application:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;14 August 2026&nbsp;</strong>(at midnight, Abu Dhabi Local Time)</p><br> <p><strong>Title and Grade:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp; Associate Programme Officer – RE Site Assessment, P-2</strong></p><br> <p><strong>Indicative Annual Salary:&nbsp;</strong>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp;<strong>(a.) Annual Net Salary:</strong> <strong>USD 56,046.00 to USD 65,346.00</strong><strong>[1]</strong></p><br> <p><strong>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; (b.) Post Adjustment: USD</strong> <strong>31,329.72 to USD 36,528.36</strong><strong>[2]</strong></p><br> <p><strong>Duration of Appointment:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; One year, with possible extension</strong></p><br> <p><strong>Duty Station:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp; Abu-Dhabi, United Arab Emirates&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</strong></p><br> <p><strong>Date for Entry on Duty:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; As soon as possible</strong></p><br> <br> <p><strong><u>Background</u></strong>&nbsp;</p><br> <p>The International Renewable Energy Agency (IRENA) is an inter-governmental organisation mandated with the widespread and increased adoption and sustainable use of all forms of renewable energy. At present, IRENA has 161 Members (160 States and the European Union) that acceded to its Statute, and 22 additional States in the process of accession. IRENA supports countries in their transition to a sustainable energy future and serves as the principal platform for international cooperation, a centre of excellence, and a repository of policy, technology, resource, and financial knowledge on renewable energy. The Agency implements its mandate with the view of sustainable development, increased energy security, and low-carbon economic growth and prosperity.</p><br> <p>Within this mandate, the focus of the Knowledge, Policy, and Finance Centre (KPFC) is on collecting data, developing knowledge platforms and conducting analysis to support the creation of enabling environments for investment and growth in renewables. This entails analytical work on policy and finance, building a gateway to knowledge, giving input to advisory services that the Agency provides to its member states and at regional levels, and targeted engagement with the private sector and civil society.</p><br> <p>The Global Atlas platform continues to evolve both in the scope of renewable energy resource datasets available on the platform and in the number and kind of support services available to the member states. As a platform, it currently hosts more than 2000 renewable energy resource maps and has been used so far by more than 200,000 professionals worldwide. The Global Atlas geospatial and time-series services, such as the prefeasibility site assessment, has supported several countries in screening several potential sites for solar and wind projects. It consists of assessing both technical and&nbsp;financial viability of prospective onshore and offshore solar and wind sites&nbsp;that can be earmarked for renewable energy development. With this service, IRENA provides both power production and financial modelling to countries all over the world. Recent works carried out in this regard include models and reports on over 150 solar and wind sites in Cape Verde, The Comoros, Namibia, Mali, Zimbabwe, Swaziland and Nigeria.</p><br> <p>The prospective recruit will support the division in assisting member countries of the Agency with the existing services – site assessment and generation profiles for transmission grid extension and stability modelling. The recruit will also support the agency in extending the site assessment service to cover new technology configurations and end-use applications, such as stability simulations, power purchase agreement options modelling, and others.</p><br> <p><strong><u>Duties and Responsibilities</u></strong></p><br> <p>Under the overall guidance of the Director of KPFC, and in close cooperation with the lead of the Renewable Energy Resource Assessment team, the Associate Programme Officer&nbsp;will perform the following duties:</p><br> <ul> <li>Support countries with the existing prefeasibility site assessment service and generation profiles calculations;</li> <li>Contribute to the development of the site assessment services to cover new technology configurations and end-use applications;&nbsp;</li> <li>Contribute to writing reports related to renewable energy resource assessment;</li> <li>Support the activities of the renewable energy resource assessment team, and ensure coordination with other teams and divisions within IRENA on topics such as renewable energy resources;</li> <li>Participate and assist in the design and implementation of outreach and communication activities, including the development of training materials, presentations, talking points, and other relevant inputs for the head of the unit and upper management, and delivery of workshops;</li> <li>Perform other duties as required.&nbsp;</li> </ul> <p><strong><u>Competencies</u></strong></p><br> <p><strong>Professionalism:</strong> Shows pride in work and in achievements; demonstrates growing professional competence and mastery of subject matter; is conscientious and efficient in meeting commitments, observing deadlines and achieving results; shows persistence when faced with difficult problems or challenges; remains calm in stressful situations.</p><br> <p><strong>Communication:&nbsp;</strong>Speaks and writes clearly and effectively; listens to others, correctly interprets messages from others and responds appropriately; asks questions to clarify and exhibits interest in having two-way communication; demonstrates openness in sharing information and keeping people informed.</p><br> <p><strong>Teamwork:</strong> Works collaboratively with colleagues to achieve organizational goals; solicits input by genuinely valuing others’ ideas and expertise; is willing to learn from others; places team agenda before personal agenda; supports and acts in accordance with final group decision.</p><br> <p><strong><u>Qualifications</u></strong></p><br> <p><strong>Education:&nbsp;</strong>Advanced university degree (Master’s degree or equivalent) in engineering, with a focus on renewables. A first-level university degree in combination with qualifying experience may be accepted in lieu of the advanced university degree.&nbsp;</p><br> <p><strong>Experience</strong>: A minimum of 2 years of proven work experience in field of renewable energy resource assessment, with an advance&nbsp;knowledge on&nbsp;renewable energy potential assessment, prefeasibility site assessment, and power modelling. Demonstrated ability to implement projects with good analytical skills and to produce reports and papers on renewable energy resource assessment is desirable.&nbsp;</p><br> <p><strong>Language</strong>: Excellent command of written and spoken English is essential. Fluency in other languages would be of additional benefit.</p><br> <p><strong>Skills</strong>: Strong quantitative and data analytical skills, and Excel/IT skills are required. Good knowledge of programming with Python is desirable.</p><br> <p>Qualified candidates must apply for the abovementioned vacancy on-line through IRENA’s recruitment platform, Taleo, by submitting a complete and comprehensive CV and a letter of interest, including details of three professional references who will be contacted if their application is shortlisted.</p><br> <p>Applications from qualified women, especially from nationals of developing countries, are highly encouraged.</p><br> <p>Please note that only candidates under serious consideration will be contacted for an interview and will receive notice of the outcome of the selection process.</p><br> <p><i><strong>[1]</strong></i><i> IRENA provides similar ICSC benefits and entitlements, including rental subsidy, education grant (for school aged children), annual leave, health insurance, provident fund, etc. as would be applicable.</i></p><br> <p>[2]&nbsp;<i>The post adjustment is a variable component that is adjusted periodically to reflect changes in the cost of living in a duty station. Post adjustment multiplier for Abu Dhabi duty station is currently <strong>58.4%,</strong>&nbsp;determined by the International Civil Service Commission and subject to change without prior notice.</i></p><br> <br> <br><br> </div>

<strong>About The Institute Of Foundation Models<br><br></strong>We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.<br><br><strong>As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. </strong>You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.<br><br>The Role<br><br>As a Research Scientist with a focus on data-centric large language model (LLM) development, your role will center on advancing the frontiers of how LLMs reason, retrieve, and interact with external information sources. You will proactively identify, collect, and organize datasets that enable LLMs to perform complex reasoning tasks, while also developing scalable systems and tooling that integrate cutting-edge research with robust engineering. Your work will have a direct impact on the performance and reliability of intelligent systems at MBZUAI IFM.<br><br><strong>Key Responsibilities<br><br></strong><ul><li>Lead research and implementation of reasoning-enhanced LLM capabilities through novel data collection, architecture design, and system integration</li><li>Design and implement pipelines to collect, curate, and structure open-source and web-scale data relevant to reasoning tasks, ensuring scalability and reproducibility</li><li>Build robust software to support fine-tuning, evaluation, and deployment of LLMs that interact with structured and unstructured knowledge bases</li><li>Collaborate with ML researchers to create, test, and evaluate new approaches in information retrieval, agentic search, and RAG (retrieval-augmented generation) pipelines</li><li>Rapidly prototype tools, APIs, and infrastructure for enabling LLMs to reason over external information, and build datasets for identifying and analyzing LLM failure modes</li><li>Communicate research findings in internal documents and external publications (e.g., top-tier conferences like ACL, ICLR, NeurIPS)</li><li>Contribute to design/code reviews and foster engineering best practices in a high-performance research environment</li><li>Represent MBZUAI at conferences and forums, promoting institutional leadership in safe, efficient, and high-impact AI systems</li><li>Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives<br><br><br></li></ul><strong>Academic Qualifications<br><br></strong><ul><li>Master’s in Computer Science, Data Science, or a related technical field, or equivalent practical experience required</li><li>PhD or equivalent research experience in Machine Learning, NLP, or Data Science with a focus on reasoning and LLMs preferred<br><br><br></li></ul><strong>Minimum Professional Experience<br><br></strong><ul><li>Experience working with large language models, including fine-tuning, prompt engineering, and multi-modal interaction</li><li>Strong Python development skills with a focus on research-grade code and scalable data pipelines</li><li>Familiarity with collecting and processing large-scale datasets from open-source and web resources</li><li>Demonstrated ability to work with ML infrastructure (e.g., model evaluation, optimization, debugging)</li><li>Proactive mindset with the ability to identify impactful research questions and execute on them with minimal supervision</li><li>Effective communication and collaboration skills for working in cross-functional teams<br><br><br></li></ul><strong>Preferred Professional Experience<br><br></strong><ul><li>Experience designing and deploying agentic LLM systems, reasoning benchmarks, or RAG pipelines</li><li>Background in building complex knowledge retrieval systems (e.g., knowledge graphs, semantic search, indexing)</li><li>Strong publication record in leading AI conferences (e.g., ICLR, ACL, NeurIPS, EMNLP)</li><li>Familiarity with performance constraints in production environments and the trade-offs in model and data design</li><li>Prior contributions to open-source ML research or data tools<br></li></ul>

<p>Job Title: Senior Full-Stack Developer</p><p>We are looking for an experienced developer with *at least 5 years of relevant, verifiable professional experience* in web application development who can effectively use modern AI-powered tools to improve development speed and software quality.</p><p>The successful candidate should be able to understand project architecture, develop both frontend and backend components, troubleshoot technical issues, and deliver functional, reliable features. Practical database knowledge and basic to intermediate familiarity with DevOps are also required.</p><p> Key Responsibilities</p><ul><li><p>Develop and maintain frontend and backend components, implement new features, and integrate external services through APIs.</p></li><li><p>Review existing code, identify and resolve technical issues, and improve software quality and performance while following the project’s architecture.</p></li><li><p>Design and modify database structures, write queries, and maintain data integrity and security.</p></li><li><p>Use AI-powered tools for development, code review, test creation, and documentation, while independently validating and correcting their outputs.</p></li><li><p>Manage code changes using Git, participate in code reviews, and support testing, controlled releases, and troubleshooting in production environment</p></li></ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Required Qualifications and Skills</strong></p><p><strong>Professional Experience</strong></p><p>A minimum of *5 years of relevant, verifiable experience in software development*, including participation in real-world, production projects. Candidates must be able to clearly explain their roles, responsibilities, and contributions to previous projects.</p><p><strong>Full-Stack Development</strong></p><p>Strong practical proficiency in JavaScript or TypeScript, experience building user interfaces with React or a similar framework, and the ability to develop backend services using Node.js or Python. A solid understanding of REST APIs, error handling, modular code, and software design principles is essential.</p><p><strong>Modern AI-Powered Development Tools</strong></p><p>Hands-on experience using tools such as <strong>Cursor, GitHub Copilot, Claude Code, or ChatGPT</strong> in software development workflows. Candidates should be able to define problems clearly, provide relevant project context, evaluate proposed changes, and test and refine AI-generated code.</p><p><strong>Databases</strong></p><p>Practical knowledge of PostgreSQL or MySQL, the ability to write SQL queries, and an understanding of table design, data relationships, indexes, transactions, and database schema migrations.</p><p><strong>DevOps and Software Deployment</strong></p><p>Familiarity with Linux, Docker, environment variables, and build and deployment processes. An understanding of CI/CD concepts, the differences between development and production environments, log analysis, and release rollback procedures is expected. Specialist-level DevOps expertise is not required.</p><p><strong>Code Quality and Security</strong></p><p>Proficiency in Git and familiarity with pull requests and code review workflows. The ability to write effective tests and apply sound practices for authentication, access control, input validation, and the secure handling of API keys and sensitive information is essential.</p><p><strong>Professional Attributes</strong></p><p>Strong problem-solving skills, the ability to work independently, accountability for output quality, realistic task estimation, and clear communication of progress and blockers are important. Candidates must be able to read technical documentation in English and coordinate with the team before making changes that could affect system stability, security, or data integrity.</p><p><strong>AI-assisted development is part of this role, but it is not a substitute for programming expertise. Candidates must be able to explain their code, justify technical decisions, and demonstrate how they validate the results</strong>.</p><p><strong>How to Apply</strong></p><p>Please submit an updated CV, details of your professional experience, and relevant project examples or a link to your GitHub profile. For each project, specify your individual role, the technologies used, and how you incorporated AI tools into the development process.</p><p>For confidential projects, a technical overview and verifiable employment or project engagement details are acceptable, without disclosing proprietary code or client information.</p>

<strong>Overview<br><br></strong>Analog is a catalyst for change across various industries - from global enterprises to the public sector, from healthcare to ecology. Analog's approach to AI ensures that technological advancements are not just about efficiency and convenience, but about enriching human experiences and fostering a more connected and mixed world. Analog is not just building technology; we are crafting a world where technology is an invisible yet indispensable part of our lives. Join us on our journey as we work to build solutions that will empower people to stop living behind the digital world and start remembering how to live in our rainbow-filled analog world.<br><br><strong>Role<br><br></strong>The Speech &amp; Language Scientist is a specialized role that focuses on advancing the understanding and application of speech and language technologies. This role bridges research and development, enabling cutting-edge innovations in areas such as automatic speech recognition (ASR), natural language understanding (NLU), speech synthesis (TTS), and conversational AI.<br><br><strong>Responsibilities<br><br></strong><ul><li>Conduct cutting-edge research in speech and audio technologies, including areas such as speech recognition, speech synthesis, audio enhancement, speaker identification, and spatial audio</li><li>Research, model, design, develop and test novel audio and speech processing algorithms using machine learning, signal processing, and computer vision</li><li>Collaborate with cross-functional teams (e.g., software engineers, product managers, and designers) to implement research into real-world applications.</li><li>Improve accuracy of models/algorithms to solve problems encountered during the model/algorithm implementation. Coordinate various teams to solve these problems in an efficient, and effective way.</li><li>Propose scenarios where AI techniques could improve the efficiency of target clients’ businesses.</li><li>Invent, analyze, design, develop and optimize algorithms and models in AUDIO areas such as Speech Recognition, Text to Speech, Speaker Recognition, etc.<br><br></li></ul><strong>Qualifications<br><br></strong><ul><li>Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on speech and audio processing, or equivalent practical experience.</li><li> Proven track record of research in speech or audio processing, demonstrated by publications in peer- reviewed journals or conferences.</li><li>Expertise in machine learning frameworks (e.g., PyTorch, TensorFlow) and proficiency in programming languages like Python, C++, or similar.</li><li>Strong knowledge of signal processing techniques and deep learning models for speech and audio tasks.</li><li>Experience working with large-scale datasets and distributed computing systems.</li><li>Proven track record of research in speech or audio processing, demonstrated by publications in peer- reviewed journals or conferences such as CVPR, ECCV, NIPS, ICASSP, InterSpeech etc<br><br></li></ul><strong>Preferred Qualifications<br><br></strong><ul><li> Experience with real-time audio systems or applications in AR/VR, accessibility, or social interaction platforms.</li><li>Familiarity with techniques for multilingual or low-resource speech recognition.</li><li>Background in self-supervised or unsupervised learning for speech/audio representation.</li><li>Knowledge of privacy-preserving techniques in audio data processing.</li><li>Experience mentoring junior researchers or managing collaborative projects.<br><br></li></ul><strong>What Working At Analog Offers<br><br></strong><ul><li>Culture: A collaborative, globally minded team building the future of physical intelligence. We value curiosity, courage, and creativity, and we’re united by a belief that technology should amplify human potential rather than replace it.</li><li>Impact: The opportunity to work on projects with national and global significance, from adaptive cities and resilient infrastructure to next generation sports, entertainment, healthcare, and energy. Every product you help build contributes to shaping a safer, smarter, more human centered world.</li><li>Growth: Outstanding opportunities for learning and career development. You’ll collaborate with leaders across AI, robotics, mixed reality, and systems engineering, while working on industry first, frontier scale solutions.</li><li>Rewards: A competitive compensation package with healthcare, education support, and generous leave benefits, reflecting the high value we place on our people and their families.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Description: Technical Manager - Systems</span> <span>Job Title:&nbsp;<strong>Technical Manager - Systems</strong></span> <span><span>Location: Abu Dhabi, UAE (Onsite)</span><br> <span>Employment Type: 3 Months Extendable Contract - Schedule: 48hr working week possible spanning 6 days</span><br> <span>Notice Period: Available to join immediately</span></span> &nbsp; <span>Position Summary</span> <p><span>The Technical Manager - Systems is responsible for the design, implementation, administration, optimization, and support of the organization's enterprise systems infrastructure. This role oversees system engineers and administrators, ensuring the availability, performance, security, and resilience of server, storage, virtualization, operating system, and cloud platforms.</span></p><br><br> <p><span>The role combines technical leadership, operational management, project delivery, vendor management, and strategic planning to ensure that business and IT objectives are achieved through reliable and scalable technology solutions.</span></p><br><br> <span>Key Responsibilities</span> <span>Infrastructure &amp; Systems Management</span> <ul> <li><span>Manage enterprise server infrastructure including physical, virtual, and cloud-based environments.</span> </li><li><span>Oversee Microsoft Windows Server, Linux/Unix, and hybrid cloud platforms.</span> </li><li><span>Ensure high availability, performance, and stability of enterprise systems.</span> </li><li><span>Manage virtualization platforms such as VMware, Hyper-V, Nutanix, or similar technologies.</span> </li><li><span>Administer and optimize storage systems, SAN, NAS, and backup solutions.</span> </li><li><span>Ensure proper capacity planning and infrastructure scalability.</span> </li></ul> <span>Cloud Management</span> <ul> <li><span>Manage Azure, AWS, or Google Cloud environments.</span> </li><li><span>Lead cloud migration and modernization initiatives.</span> </li><li><span>Govern cloud costs and optimize resource consumption.</span> </li><li><span>Implement cloud security best practices and compliance controls.</span> </li></ul> <span>Operational Support</span> <ul> <li><span>Ensure adherence to SLAs, OLAs, and operational KPIs.</span> </li><li><span>Lead problem management activities for recurring infrastructure issues.</span> </li><li><span>Manage major incidents affecting critical systems.</span> </li><li><span>Establish preventive maintenance procedures and operational standards.</span> </li><li><span>Ensure 24x7 support coverage where required.</span> </li></ul> <span>Cybersecurity &amp; Compliance</span> <ul> <li><span>Implement security hardening standards and vulnerability management.</span> </li><li><span>Support cybersecurity initiatives and audits.</span> </li><li><span>Ensure compliance with ISO 27001, ISO 20000, NIST, and organizational governance requirements.</span> </li><li><span>Coordinate disaster recovery and business continuity planning.</span> </li></ul> <span>Project Delivery</span> <ul> <li><span>Lead infrastructure modernization and transformation projects.</span> </li><li><span>Manage project timelines, resources, budgets, and risks.</span> </li><li><span>Coordinate infrastructure activities across multiple stakeholders.</span> </li><li><span>Support application deployment and enterprise platform upgrades.</span> </li></ul> <span>Team Leadership</span> <ul> <li><span>Lead and mentor Systems Engineers, Infrastructure Specialists, and Administrators.</span> </li><li><span>Develop technical standards, policies, and operational procedures.</span> </li><li><span>Conduct performance reviews and career development planning.</span> </li><li><span>Build technical capabilities through training and knowledge transfer.</span> </li></ul> <span>Vendor &amp; Contract Management</span> <ul> <li><span>Manage relationships with technology vendors and service providers.</span> </li><li><span>Evaluate new technologies and solutions.</span> </li><li><span>Monitor vendor performance against contractual obligations.</span> </li><li><span>Participate in procurement and technical evaluations.</span> </li></ul> <span>Required Qualifications</span> <span>Education</span> <ul> <li><span>Bachelor's Degree in:</span> <ul> <li><span>Computer Science</span> </li><li><span>Information Technology</span> </li><li><span>Computer Engineering</span> </li><li><span>Related discipline</span> </li></ul> </li></ul> <span>Experience</span> <ul> <li><span>8-12 years of IT infrastructure experience.</span> </li><li><span>Minimum 3-5 years in a managerial or team leadership role.</span> </li><li><span>Experience managing enterprise-scale systems environments.</span> </li><li><span>Experience supporting mission-critical infrastructure and applications.</span> </li></ul> <span>Technical Skills</span> <span>Operating Systems</span> <ul> <li><span>Microsoft Windows Server</span> </li><li><span>Linux (Red Hat, CentOS, Ubuntu)</span> </li><li><span>Unix platforms</span> </li></ul> <span>Virtualization</span> <ul> <li><span>VMware vSphere</span> </li><li><span>Microsoft Hyper-V</span> </li><li><span>Nutanix AHV</span> </li></ul> <span>Cloud Platforms</span> <ul> <li><span>Microsoft Azure</span> </li><li><span>Amazon Web Services (AWS)</span> </li><li><span>Google Cloud Platform (GCP)</span> </li></ul> <span>Infrastructure Services</span> <ul> <li><span>Active Directory</span> </li><li><span>DNS</span> </li><li><span>DHCP</span> </li><li><span>Group Policy</span> </li><li><span>Identity and Access Management</span> </li></ul> <span>Storage &amp; Backup</span> <ul> <li><span>Dell EMC</span> </li><li><span>NetApp</span> </li><li><span>HPE Storage</span> </li><li><span>Veeam Backup</span> </li><li><span>Commvault</span> </li></ul> <span>Monitoring Tools</span> <ul> <li><span>SolarWinds</span> </li><li><span>SCOM</span> </li><li><span>Zabbix</span> </li><li><span>PRTG</span> </li><li><span>ManageEngine</span> </li></ul> <span>Scripting &amp; Automation</span> <ul> <li><span>PowerShell</span> </li><li><span>Python</span> </li><li><span>Bash</span> </li><li><span>Infrastructure as Code concepts</span> </li></ul> <span>Preferred Certifications</span> <ul> <li><span>Microsoft Azure Administrator (AZ-104)</span> </li><li><span>Microsoft Azure Solutions Architect (AZ-305)</span> </li><li><span>VMware VCP</span> </li><li><span>AWS Solutions Architect Associate</span> </li><li><span>Red Hat Certified Engineer (RHCE)</span> </li><li><span>ITIL Foundation or ITIL Managing Professional</span> </li><li><span>CISSP (Preferred)</span> </li><li><span>TOGAF (Advantageous)</span> </li></ul> <span>Key Competencies</span> <span>Leadership</span> <ul> <li><span>Team management</span> </li><li><span>Coaching and mentoring</span> </li><li><span>Decision making</span> </li><li><span>Stakeholder management</span> </li></ul> <span>Technical</span> <ul> <li><span>System architecture</span> </li><li><span>Infrastructure design</span> </li><li><span>Cloud technologies</span> </li><li><span>Disaster recovery planning</span> </li></ul> <span>Operational</span> <ul> <li><span>Incident management</span> </li><li><span>Problem management</span> </li><li><span>Change management</span> </li><li><span>Capacity management</span> </li></ul> <span>Business</span> <ul> <li><span>Budget management</span> </li><li><span>Vendor management</span> </li><li><span>Risk management</span> </li><li><span>Strategic planning</span> </li></ul> <br><br> </div>

<p><strong>Cloud AI Services</strong> Hands-on production experience with Microsoft Azure AI Services including Azure OpenAI, Azure AI Foundry-related services, Azure AI Search, Azure Speech, Document Intelligence, and Content Safety and equivalent fluency with AWS AI Services, including AWS Bedrock and supporting model and content services. Familiarity with Core42 Compass for in-region inference is required. <strong>Agentic AI Frameworks</strong> Strong working knowledge of Microsoft Agent Framework and LangGraph, including agent orchestration, tool calling, skill composition, memory and state management, planning patterns, multi-agent execution topologies, and human-in-the-loop checkpoints. Ability to read and reason about agent graphs, conditional edges, retry policies, and tool schemas to diagnose execution-level issues quickly. <strong>LLM Operations</strong> Practical expertise in prompt-level troubleshooting, token consumption analysis, context-window management, model configuration tuning, endpoint health monitoring, Azure OpenAI PTU capacity and quota management, throttling and latency analysis, fallback handling, and responsible-AI controls including content filtering and safety policies. <strong>Kubernetes and Containers</strong> Deep operational experience with Azure Kubernetes Service, including Kubernetes core constructs (deployments, pods, services, ingress, namespaces, ConfigMaps, secrets), Helm-based release management, autoscaling behaviour, container troubleshooting, and Docker image lifecycle. Comfort with kubectl, kustomize, and platform-level network and identity constructs. <strong>API and MCP Gateway</strong> Strong expertise in Azure API Management, including API policies, named values, products, subscriptions, OAuth 2.0 and OpenID Connect flows, managed identities, JWT validation, rate limiting, caching, and backend routing. Working knowledge of REST APIs and event-driven integration patterns. Specific experience with the Model Context Protocol (MCP) including MCP servers, MCP clients, tool definitions, and gateway-mediated MCP patterns is highly desirable. <strong>Observability</strong> Expertise in Comet Opik for distributed agent and prompt tracing, including trace inspection, evaluation runs, drift detection, and dashboard construction. Strong working knowledge of Azure Monitor, Application Insights, Log Analytics, and AWS CloudWatch, with the ability to construct correlated views across logs, metrics, traces, and business indicators using correlation identifiers. <strong>DevOps and Automation</strong> Comfort with Git-based workflows, CI/CD pipelines (GitLab CI/CD or Azure DevOps), infrastructure as code (Terraform or Bicep), release automation, and deployment validation. Strong scripting in Python, PowerShell, and Bash for operational tooling, log mining, and remediation automation. <strong>Voice AI</strong> Working experience with ElevenLabs APIs and SDKs, voice-agent integrations, real-time audio processing, session-level troubleshooting, latency and audio-quality analysis, and integration with conversational AI and telephony layers. <strong>Security and Governance</strong> Hands-on experience with Microsoft Entra ID, RBAC, managed identities, Azure Key Vault, secrets and certificate management, private networking and Private Link, vulnerability management, audit logging, data protection controls, and AI governance frameworks including model access management and responsible-AI policy enforcement. <strong>Service Management</strong> Practical application of ITIL practices including incident management, problem management, change management, service requests, SLA and OLA management, root-cause analysis, and major incident management within an enterprise service-management toolset such as ServiceNow. </p><p><strong>Desired Candidate Profile</strong></p><p>The following certifications are considered desirable: ▪ Microsoft Azure Administrator or Azure Solutions Architect Expert ▪ Microsoft Azure AI Engineer Associate ▪ AWS Solutions Architect or AWS Certified Machine Learning Specialty ▪ Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD) ▪ ITIL Foundation or higher ▪ DevOps, Site Reliability Engineering, Cybersecurity, or AI Governance certifications from a recognized body </p>

Inception, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer – transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai<br><br><strong>Overview<br><br></strong>As a Senior Technical Architect at Inception, you will play a pivotal role in shaping the overarching architecture strategy for our AI-driven initiatives. You will work across teams to align business objectives with technology strategies, drive technical-wide architectural decisions, and ensure our systems are scalable, secure, and aligned with best practices. Your expertise will be instrumental in driving innovation and ensuring the successful delivery of transformative AI solutions.<br><br><strong>Responsibilities<br><br></strong>What You’ll Own<br><br><ul><li>Develop and maintain the technical architecture framework to support business objectives and technology strategies.</li><li>Lead the evaluation, selection, and integration of new technologies and frameworks across the organization.</li><li>Provide strategic guidance and oversight for large-scale AI and technology initiatives.</li><li>Design and oversee the implementation of scalable, secure, and high-performance AI solutions.</li><li>Mentor and guide architects and technical teams in best practices and innovative solutions.</li><li>Monitor technology trends and advocate for the adoption of emerging technologies where applicable.<br><br></li></ul>Required Tech Stack<br><br><ul><li>Technical Architecture: Deep experience with frameworks such as TOGAF, Zachman, or similar.</li><li>Programming and Development: Proficiency in languages like Python, Java, and JavaScript, with a focus on technical-level solutions.</li><li>AI and Machine Learning: Familiarity with frameworks like TensorFlow, PyTorch, and technical AI platforms.</li><li>Cloud Platforms: Expertise in AWS, Microsoft Azure, and Google Cloud Platform (GCP).</li><li>Data Management: Advanced knowledge of SQL, NoSQL databases, and big data solutions (e.g., Hadoop, Spark).</li><li>Microservices and Integration: Expertise in microservices architecture, RESTful APIs, GraphQL, and service mesh technologies<br><br></li></ul><strong>Qualifications<br><br></strong>What We’re Looking For<br><br><ul><li>Proven ability to lead technical-scale architectural transformations.</li><li>Strong analytical skills and the ability to translate complex business requirements into scalable and efficient architectures.</li><li>Exceptional leadership and communication skills, with the ability to influence stakeholders at all levels.</li><li>A proactive, innovative mindset with a bias for action and continuous learning.<br><br></li></ul><strong>To qualify for the role you must have<br><br></strong><ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.</li><li>Extensive experience in technical architecture and technology leadership.</li><li>Demonstrated success in delivering large-scale, AI-driven solutions.</li><li>Deep understanding of architectural principles, system design, and technology strategy.<br><br></li></ul>What We Look For<br><br>If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.<br><br>What Working At Inception Offers<br><br>Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.<br><br>Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.<br><br>Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.<br><br>If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b> Job Description</b></p><p><b>Technical Product Engineer – Backend / Full Stack (AI-Enabled)</b></p><p>Matajer AI is looking for a <b>hands-on Technical Product Engineer</b> to work <b>on-site in the UAE directly with the founder</b>.</p><p>This is not a traditional developer role where you simply receive tickets and write code.</p><p>We are looking for someone who can <b>understand problems, investigate, think logically, use AI effectively, execute solutions, and verify the result before calling a task complete.</b></p><p>You will work on an existing e-commerce and ERP ecosystem involving backend systems, APIs, databases, internal business tools, integrations, automation, and AI-assisted development.</p><p><b> What You Will Do</b></p><ul><li>Understand business problems and turn them into clear technical tasks.</li><li>Work hands-on with existing backend and full-stack systems.</li><li>Investigate bugs and identify root causes using code, logs, data, and evidence.</li><li>Build and improve APIs, database logic, integrations, and internal tools.</li><li>Use AI coding tools and agents to speed up development, debugging, research, testing, and documentation.</li><li>Review and verify AI-generated work instead of trusting it blindly.</li><li>Learn unfamiliar platforms and technologies quickly when required.</li><li>Test your work and clearly explain what was completed, what was verified, and what remains uncertain.</li><li>Document important technical decisions and hand over work clearly.</li><li>Work directly with the founder and other developers to move projects from idea to working result.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b> What We Care About Most</b></p><p>We care more about <b>how you think and solve problems</b> than how many technologies you list on your CV.</p><p>We are looking for someone who:</p><ul><li>Thinks logically and learns quickly.</li><li>Investigates before making assumptions.</li><li>Can work independently and take ownership.</li><li>Has strong problem-solving ability.</li><li>Is genuinely interested in software and technology.</li><li>Uses AI as a powerful engineering tool while still verifying the output.</li><li>Can explain technical matters simply and clearly.</li><li>Is comfortable entering an unfamiliar system and learning how it works.</li></ul><p><b> Technical Foundation</b></p><p>You should have real hands-on software development experience with areas such as:</p><ul><li>Backend development</li><li>REST APIs</li><li>Databases and data modelling</li><li>Git / version control</li><li>Debugging and testing</li><li>Modern web or full-stack development</li></ul><p>Experience with Node.js, PHP/Laravel, Python, React/Next.js, MySQL/PostgreSQL, Docker, cloud platforms, DevOps, or AI/LLM systems is useful — <b>but knowledge of a specific stack is not mandatory.</b></p><p>We value the ability to <b>learn the right technology when needed</b>.</p><p><b> AI-First Mindset</b></p><p>AI is a core part of how we work.</p><p>You should be comfortable using tools such as ChatGPT, Claude, coding agents, or similar tools to accelerate your work.</p><p>However, you must also be able to:</p><ul><li>Understand the generated solution.</li><li>Review the actual code and changes.</li><li>Test the result yourself.</li><li>Detect missing cases or incorrect assumptions.</li><li>Know when AI may be wrong.</li></ul><p><b> Requirements</b></p><ul><li><b>Currently based in the UAE.</b></li><li>Available for <b>full-time, on-site work</b>.</li><li>Real hands-on software development experience.</li><li>Comfortable working directly with the founder.</li><li>Good practical communication in English or Arabic.</li><li>Able to demonstrate your skills through a short practical technical exercise.</li></ul><p><b>⭐ Nice to Have</b></p><ul><li>Experience with e-commerce, ERP, SaaS, marketplaces, or operational systems.</li><li>Experience owning a product or feature end-to-end.</li><li>Backend architecture and database experience.</li><li>Cloud / Linux / DevOps exposure.</li><li>Experience using AI tools professionally.</li></ul><p><b> Hiring Process</b></p><p>Our selection process focuses on real ability rather than certificates:</p><p><b>Application → Short screening → Interview → Practical technical exercise → Final discussion / trial</b></p><p>AI tools are allowed during our practical assessment.</p><p><b>We are not looking for someone who knows everything.</b></p><p><b> We are looking for someone who can understand, learn, execute, verify, and take ownership.</b></p><p><br></p></div>

<p>The AI & Innovation Lab requires a Senior AI Forward Deployed Engineer to embed directly with operational teams across terminal operations, gate and yard planning, trade documentation, logistics and economic zones. The resource will scope, build and deploy production AI solutions against live operational problems and lead cross-functional delivery squads drawn from the business and IT without formal authority.</p><p>The role will take LLM, RAG and agentic AI solutions from prototype to embedded production, including security review, data-governance alignment and operational handover. The resource will build reusable production accelerators, prompt and agent templates, reference architectures, and internal libraries to reduce delivery time for subsequent AI projects.</p><p>The position will also establish the Lab’s MLOps/AIOps foundation, including CI/CD for models and agents, model registries, evaluation pipelines, monitoring, versioning and deployment standards. The engineer will define engineering standards, responsible-AI guardrails and repeatable delivery playbooks that can be adopted across the wider organization.</p><p>This role is required to deliver live AI systems within port, zone and logistics operations; improve AI quality through automated and human evaluation; and optimize production AI performance, latency and operating cost. The requirement supports DP World’s direction toward reusable, scalable and value-driven AI capabilities, with regional delivery aligned to enterprise governance and standards.</p><br><p><strong>Responsibilities:</strong></p><ol><li><p>Operate through a forward-deployed model by working directly with operational teams where the business problem exists. 2. Cover live use cases across terminal operations, gate and yard planning, trade documentation, logistics and economic zones.</p></li><li><p>Translate ambiguous operational requirements into an AI product scope, delivery plan and production solution.</p></li><li><p>Build and deploy LLM-based and agentic systems, including RAG, orchestration and multi-step agent workflows.</p></li><li><p>Own the full production path: security, data governance, testing, deployment, operational handover and ongoing improvement.</p></li><li><p>Lead mixed teams of engineers, analysts and operational staff without formal authority and carry the technical argument with senior stakeholders.</p></li><li><p>Build concrete reusable assets rather than presentations: production accelerators, prompt/agent templates, reference architectures and internal libraries.</p></li><li><p>Establish the MLOps/AIOps platform foundation for deploying, evaluating, monitoring and versioning models and agents.</p></li><li><p>Create delivery playbooks and a documented, repeatable methodology that the wider organization can run.</p></li><li><p>Measure real-world AI quality through automated and human evaluation: groundedness, hallucination detection, task success, latency, safety and business KPIs.</p></li><li><p>Apply A/B testing and continuous regression testing so production systems improve over time.</p></li><li><p>Optimize production AI cost through model selection/routing, prompt and token-usage optimization, caching and inference-cost management while balancing performance and latency. 13. Deliver live AI systems operating inside port, zone and logistics operations against real cargo, gates and trade flows.</p></li><li><p>Work directly with business-unit leaders; the Lab reports into senior leadership and has a mandate to move quickly from validated idea to production decision.</p></li></ol><p><strong>Desired Candidate Profile</strong></p><p>Senior, hands-on engineer who ships, with recent<strong> production AI delivery </strong>experience. <strong>Production LLM and agentic AI: RAG,</strong> orchestration and multi-step agent workflows. <strong>MLOps depth</strong>: CI/CD, model registries, monitoring and evaluation pipelines. <strong>Strong Python </strong>and modern software-engineering practice. <strong>GCC Experience & Arabic capability</strong> Consulting-adjacent skills to work with non-technical operational stakeholders, identify the real problem and manage delivery end to end. Self-driven with minimal direction: scope the work, set the plan and drive it to production without waiting for a brief. Technical leadership without formal authority across engineers, analysts and operational staff; ability to set adopted standards and influence senior stakeholders. Strong product mindset: user feedback, feature prioritization, technical trade-offs and adoption. Deep AI evaluation expertise: groundedness, hallucination detection, task success, latency, safety, business KPIs, A/B testing and continuous regression testing. </p>

<p>Our client, a leading real estate developer in Abu Dhabi, requires a Project Controls officer to join their team. This role is highly technology-driven, and candidates must possess strong core experience in digital transformation, dashboard development, and data analytics. They should have a proven ability to work closely with data to deliver meaningful insights and ensure effective data visualization for stakeholders. Hands-on expertise in building and maintaining Power BI dashboards is essential for success in this role. While real estate experience can be an added value, however, we would accept candidates from different domains if they possess proper experience with business and data analytics. JOB PURPOSE To support in the digital transformation of the project reporting ecosystem. ROLES AND RESPONSIBILITIES The role involves integrating Primavera P6 EPPM with Power BI, managing the ongoing administration, automation, and optimization of Power BI reports, and supporting the integration of Power Apps and Microsoft Dataverse into a unified data environment. The successful candidate will work at the intersection of project controls, business administration, data analytics, and digital systems integration, ensuring our reporting processes are accurate, streamlined, timely, and contributes to our digital improvement vision Integration & Automation o Lead the integration of Primavera P6 EPPM data with Power BI for automated project dashboards and KPIs. o Develop and maintain data pipelines, ETL processes, and data models connecting P6, Power Apps, and Dataverse. o Ensure data accuracy, refresh efficiency, and performance optimization across reports and systems. Power BI Administration & Development o Oversee the Power BI workspace , datasets, permissions, and user access. o Maintain existing dashboards and develop new interactive dashboards and executive reports for projects; design, cost, and schedule performance, progress layouts using shapemaps/TopoJSON..etc. o Implement row-level security, governance standards, and version control. Power Platform & Data Ecosystem o Support the integration of Power Apps, Dataverse, and SharePoint into Power BI for workflow automation and analytics. o Coordinate with IT and project teams to ensure seamless data synchronization across platforms. Process Improvement o Identify manual reporting pain points and automate them using Power BI, Power Automate, or Power Apps. o Recommend and implement best practices in data architecture, visualization, and governance. Stakeholder Support o Collaborate with IT, EPMO, development team, procurement team, project control team, and management to gather reporting requirements. o Deliver training and documentation for internal users on Power BI dashboards and integrations.</p><p>QUALIFICATIONS AND COMPETENCIES Education: o Bachelor's degree in Engineering, Computer Science, Information Systems, or related field. o Certifications in data analytics or project management systems is an advantage. Technical Skills: o Advanced Power BI (DAX, Power Query, data modeling, administration). o Primavera P6 EPPM integration, database structure, and data warehousing knowledge o Experience with Microsoft Power Platform - Power Apps, Power Automate, and Dataverse. o Strong proficiency in SQL, APIs, and ETL tools (Python or Azure Data Factory experience a plus). o Familiarity with data governance, RLS, and data security frameworks. o Knowledge of project controls concepts (schedule, cost, progress, and KPIs). Experience Required o Minimum 5-7 years of experience in data analytics, project reporting, or digital transformation roles. o At least 2 years of direct experience developing power bi reports for the construction/real estate industry with experience in integrating Primavera P6 EPPM with Power BI. o Proven track record in developing enterprise-level Power BI dashboards and managing Power BI environments. Preferred Certifications o Microsoft Certified: Data Analyst Associate (Power BI) Power Platform App Maker or Developer Associate</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We are looking for a highly capable and motivated <b>Full-Stack Software Developer</b> to join us full-time and lead the technical development of an innovative <b>AI-powered Quality Assurance and Institutional Effectiveness platform for higher education institutions</b>.</p><p>The successful candidate will work closely with the project founder, who has extensive experience in <b>higher education quality assurance, accreditation, institutional effectiveness, KPI management, and regulatory reporting</b>, to transform the concept into a scalable and commercially viable software product.</p><p>The platform will be designed to help universities manage and improve their quality assurance processes, including <b>quality standards, KPIs, risks, evidence, action plans, self-study reports, annual reports, accreditation requirements, and institutional data</b>.</p><p>This is an excellent opportunity for a developer who wants to take ownership of a product from the early development stage and play a key role in building a new <b>EdTech / AI / Higher Education SaaS platform</b>.</p><p>Key Responsibilities</p><ul><li>Lead the technical development of the platform from concept and MVP through to production.</li><li>Design and develop a modern, secure, scalable web-based SaaS application.</li><li>Develop both the <b>frontend and backend</b> of the platform.</li><li>Design and implement databases, APIs, authentication, user roles, permissions, and data management systems.</li><li>Integrate AI/LLM capabilities into the platform for document analysis, data analysis, quality assurance insights, report generation, and recommendations.</li><li>Develop functionality for uploading, organizing, searching, and analysing institutional documents and evidence.</li><li>Build dashboards for KPIs, performance indicators, risks, action plans, compliance status, and institutional performance.</li><li>Develop AI-assisted tools for analysing evidence against quality standards and accreditation requirements.</li><li>Build systems that can generate structured outputs such as self-study reports, annual quality reports, gap analyses, and improvement plans.</li><li>Design the platform to support different universities, colleges, programs, users, and regulatory/accreditation frameworks.</li><li>Develop secure APIs and integrations with university information systems and other data sources where required.</li><li>Ensure the platform is scalable and capable of supporting multiple institutional clients.</li><li>Implement appropriate cybersecurity, data protection, backup, and access-control measures.</li><li>Test, troubleshoot, document, and continuously improve the software.</li><li>Evaluate and recommend appropriate technologies, frameworks, cloud services, AI models, and third-party APIs.</li><li>Take ownership of the technical roadmap and provide realistic development timelines.</li><li>Work closely with the founder to translate higher-education QA requirements into practical software features.</li></ul><p>Required Skills</p><ul><li>Strong experience in <b>full-stack web application development</b>.</li><li>Strong knowledge of modern frontend and backend development.</li><li>Experience with technologies such as <b>React, Next.js, Node.js, Python, or equivalent modern frameworks</b>.</li><li>Strong knowledge of <b>REST APIs and database architecture</b>.</li><li>Experience with <b>SQL and/or NoSQL databases</b>.</li><li>Experience developing secure authentication, role-based access, and multi-user systems.</li><li>Practical experience integrating <b>AI/LLM APIs</b>, such as OpenAI or equivalent platforms.</li><li>Experience with <b>Retrieval-Augmented Generation (RAG)</b>, embeddings, vector databases, or AI document analysis is highly desirable.</li><li>Experience with cloud platforms such as <b>AWS, Azure, or Google Cloud</b>.</li><li>Understanding of software architecture, Git/GitHub, testing, deployment, and CI/CD.</li><li>Ability to convert business requirements into technical specifications and working software.</li><li>Strong problem-solving and analytical skills.</li><li>Ability to work independently and take ownership of the development process.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>Highly Desirable</p><p>Experience in one or more of the following would be a strong advantage:</p><ul><li>SaaS platform development</li><li>EdTech</li><li>Artificial Intelligence / Generative AI</li><li>Document intelligence</li><li>Enterprise software</li><li>Higher education technology</li><li>Quality assurance or accreditation systems</li><li>Data analytics and dashboards</li><li>Business intelligence</li><li>University Management Information Systems</li><li>API integrations with institutional systems</li><li>Multi-tenant SaaS architecture</li></ul><p><br></p></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests. Applications will be reviewed on a rolling basis - we encourage you to apply early. Successful candidates must be able to commit to at least 3 months long internship period. The Measurement Center of Excellence, or COE, is a regional team focused on advancing how TikTok demonstrates and improves advertising effectiveness. We work across branding and performance measurement to develop scalable insights, solutions, frameworks, and programs that help advertisers better understand and improve the business impact of their investments on TikTok. Our team sits at the intersection of Measurement, Sales, Product, Analytics, and Marketing. We partner with market and regional teams to analyze advertising outcomes, identify opportunities across clients and industries, validate new measurement approaches, and translate complex findings into clear and actionable recommendations. As a Measurement COE Intern, you will support regional projects spanning analytics, research, program development, and measurement innovation. You will have the opportunity to work with real-world advertising data, contribute to high-impact cross-market initiatives, and learn how measurement insights are used to influence advertising strategies, product development, and business decisions. Responsibilities - Support regional advertising measurement projects across branding and performance use cases, working closely with COE members and cross-functional partners - Analyze and synthesize data from multiple studies, markets, advertisers, or industries to identify trends, benchmarks, and actionable insights - Assist with the development of meta-analyses, custom research, product validation studies, and other strategic measurement initiatives - Maintain and improve project trackers, reporting dashboards, measurement repositories, and other tools used to monitor program progress and impact - Translate analytical findings into clear presentations, reports, case studies, and recommendations for technical and non-technical stakeholders - Conduct research on advertising effectiveness, measurement methodologies, industry trends, competitor practices, and emerging technologies - Support the development of scalable COE resources, including playbooks, best-practice frameworks, training materials, and go-to-market content - Explore opportunities to automate or streamline recurring analytical, reporting, and operational workflows using data tools or generative AI - Coordinate inputs and deliverables across regional and market stakeholders, ensuring project information is accurate, organized, and delivered on time - Take ownership of a defined internship project and present key findings and recommendations to the broader Measurement team Minimum Qualifications: - Currently pursuing a Bachelor's degree or above - Strong analytical and technical skills, including advanced Excel, working knowledge of Python or R, and good knowledge of SQL - Solid understanding of statistical concepts and data analysis methodologies, with a quantitative and problem-solving mindset - Strong PowerPoint and communication skills, with the ability to present data and insights clearly and professionally - Strong attention to detail, ownership and organisational skills, with the ability to manage multiple priorities and deliver high-quality work in a fast-paced environment Preferred Qualifications: - Previous internship, project or coursework experience in data analytics, business intelligence, consulting, or a technology-related environment - Familiarity with data visualisation tools, such as Tableau or Power BI - Understanding of digital marketing metrics, advertising measurement or social media analytics</p> </div>

<ul><li><p>Design, architect, and operate enterprise scale Red Hat OpenShift (v4.x) platforms across on prem, private cloud, and managed OpenShift services (ARO, ROSA) for regulated banking workloads.</p><ul><li><p>Define hybrid and multi cloud OpenShift architecture, integrating on prem OpenShift with cloud hosted clusters while maintaining security, compliance, and operational consistency.</p></li><li><p>Architect OpenShift solutions leveraging Azure Red Hat OpenShift (ARO) and Red Hat OpenShift Service on AWS (ROSA), including network connectivity, identity integration, and landing zone alignment.</p></li><li><p>Build, configure, and maintain OpenShift cluster infrastructure across bare metal, virtualized, and cloud environments, including networking, storage, ingress, and security integration.</p></li><li><p>Own the end to end lifecycle of OpenShift platforms: installation, upgrades, patching, capacity planning, scaling, and platform health management.</p></li><li><p>Act as a solution architect and technical advisor for container platforms, guiding application modernization and cloud native adoption strategies.</p></li><li><p>Design hybrid connectivity models between on prem and cloud OpenShift clusters using VPN, private connectivity (e.g., ExpressRoute / Direct Connect–aligned designs), and secure ingress/egress patterns.</p></li><li><p>Develop technical architectures, solution blueprints, and design documents for OpenShift based platforms and cloud integrated solutions.</p></li><li><p>Prepare and deliver technical proposals, architecture presentations, and platform roadmaps to architecture review boards, leadership, and key stakeholders.</p></li><li><p>Implement and manage OpenShift ecosystem components, including Operators, OperatorHub, OpenShift Pipelines (Tekton), GitOps (Argo CD), and Service Mesh (Istio).</p></li><li><p>Drive platform automation and standardization using Ansible, Terraform (where applicable), Bash, and Python across on prem and cloud OpenShift environments.</p></li><li><p>Enable and support CI/CD pipelines and GitOps workflows for cloud and hybrid OpenShift clusters, ensuring controlled and compliant deployments.</p></li><li><p>Integrate OpenShift with cloud native services and enterprise tooling, including identity providers, container registries, monitoring, logging, and certificate management.</p></li><li><p>Ensure security, risk, and compliance alignment across hybrid and cloud platforms, enforcing RBAC, network policies, cluster hardening, and banking regulatory standards.</p></li><li><p>Integrate and manage container and cloud security tooling, including image scanning, vulnerability management, and policy enforcement (e.g., ACS, Trivy).</p></li><li><p>Monitor and troubleshoot performance, availability, and reliability issues across on prem and cloud OpenShift clusters, providing root cause analysis and remediation.</p></li><li><p>Design and operate centralized observability solutions (Prometheus, Grafana, EFK/ELK) for hybrid OpenShift environments.</p></li><li><p>Plan and execute capacity and scaling strategies for OpenShift clusters across cloud and on prem platforms based on business demand and SLAs.</p></li><li><p>Provide technical leadership and mentorship to OpenShift and platform engineers, promoting cloud and hybrid platform best practices.</p></li><li><p>Lead or support small platform engineering teams, including task planning, technical reviews, and skill development.</p></li><li><p>Collaborate with cloud, infrastructure, security, networking, SRE, and application teams to deliver secure, stable, and compliant OpenShift platforms.</p></li><li><p>Provide 24/7 production support and incident leadership, ensuring fast recovery and minimal impact to critical banking services.</p></li><li><p>Contribute to platform governance, standards definition, and continuous improvement of enterprise container and hybrid cloud platforms.</p></li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Required Skills * Red Hat Openshift Administration, Advanced Cluster Management, Openshift Virtualization with cloud migration & Integration, preferably within the banking sector, with broad exposure to enterprise technology platforms. Required Experience / Knowledge Areas * At least 10 years of IT experience & 5+ years of recent experience in Openshift / Red Hat Openshift Administration, Advanced Cluster Management, Openshift Virtualization with cloud migration & Integration, preferably within the banking sector, with broad exposure to enterprise technology platforms. Certifications Required Red Hat Certified Specialist in OpenShift Administration ITIL® Foundation – IT Service Management Skills OpenShift Administration Cloud Integration Hybrid Architecture</p></li></ul>

<p>We are looking for an experienced AI Engineer responsible for designing, developing, and deploying Generative AI and Agentic AI solutions that support enterprise-scale business use cases. This role includes building intelligent systems that integrate complex backend services and client-facing applications across web, mobile, and enterprise platforms. The primary responsibility will be to design and develop AI-powered applications, autonomous agents, and multi-agent workflows, while coordinating with cross-functional teams across architecture, engineering, product, and business functions. Thus, a commitment to collaborative problem solving, sophisticated design, and product quality is essential.</p><br><p><strong>KEY ACCOUNTABILITIES:</strong></p><ul><li><p>Designing and building Generative AI applications using Large Language Models (LLMs)</p></li><li><p>Developing Agentic AI solutions, including autonomous agents, multi-agent orchestration, and workflow-driven decision systems</p></li><li><p>Building solutions using frameworks such as LangChain, LangGraph or similar agent frameworks</p></li><li><p>Implementing RAG architecture with vector databases</p></li><li><p>Knowledge of embeddings, vector DBs, and model evaluation.</p></li><li><p>Implement various Context Engineering strategies to reduce Token Utilization & Latency.</p></li><li><p>Implement RAG Strategies to reduce retrieval latency and answer relevancy.</p></li><li><p>Prompt engineering, tool calling, memory management, and agent orchestration</p></li><li><p>Integrating AI services with enterprise APIs, middle ware, and backend systems</p></li><li><p>Evaluated & Improvise AI Agent Performance using several metrics</p></li><li><p>Deploying scalable AI solutions on Azure / AWS cloud platforms.</p></li><li><p><strong>Working with model evaluation, guardrails, observability, and AI governance</strong></p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor's degree in Computer Science, Engineering, or a related field.</p></li><li><p>Senior professional with around 10 years of experience.</p></li><li><p>3+ years of relevant experience in AI Engineering</p></li><li><p>Working experience in an agile software development environment with a good understanding of the principles of agile architecture. Strong collaborative mindset for collective decentralized decision making.</p></li><li><p>Demonstrate strong technical skills with a deep understanding of modern architectural styles and practices such as Microservices, Containers, Cloud (AWS, Azure), APIs, Continuous Delivery, Event-driven architecture, Evolutionary architecture, etc., with a passion for hands on coding.</p></li><li><p>Strong foundation knowledge of software architecture concepts, patterns, principles, and quality attributes. Ability to consistently apply them in real-world scenarios with a pragmatic, system thinking, and problem-solving mindset by analyzing architecture trade-offs for delivering high-quality, sustainable solution architecture.</p></li><li><p>Proven leadership skills with a proactive, positive, and growth mindset. Ability to foster and motivate programmers for delivering with craftsmanship. Good personal skills to continuously engage and communicate with an egoless empathetic mindset.</p></li><li><p>Experience and expertise in delivering architecture for large software solutions meeting critical business purposes. Ability to proactively discover technical debts and continuous improvement opportunities of existing live systems. Work closely with the product owner and enterprise architects to influence and prioritize technical backlog items.</p></li><li><p>Strong proficiency in Python (NumPy, pandas, FastAPI, PyTorch/TensorFlow).</p></li><li><p>Experience with Agent framework LangChain, Lang Graph.</p></li><li><p>Architect end-to-end data indexing pipelines optimized for semantic search and RAG.</p></li><li><p>Design resilient data ingestion frameworks that ensure high availability and low latency for vectorized datasets.</p></li><li><p>Experience deploying and managing models via Amazon Bedrock, Azure OpenAI Service, and Google Vertex AI.</p></li><li><p>Integration of pre-built AI APIs for Speech-to-Text, Computer Vision, and Natural Language Processing (NLP).</p></li><li><p>Leveraging serverless architectures (e.g., AWS Lambda, Azure Functions) to trigger AI inference and data pre-processing.</p></li><li><p>Experience working with CI/CD tools like Jenkins/Gitlab in Cloud Native environments.</p></li><li><p>Experience in setting up pipeline for cloud based and on-prem based application with static code analysis, requirement tagging in Jira.</p></li><li><p>Experience working with one or more DevOps tools & config management tools.</p></li><li><p>Experience in managing and deploying AI workloads in Kubernetes.</p></li><li><p>Experience operating monitoring tools for traditional and cloud environments.</p></li><li><p><strong>Strong analytical mind for problem solving.</strong></p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Bayut &amp; dubizzle have the unique distinction of being iconic, homegrown brands with a strong presence across the seven emirates in the UAE.<br> Connecting millions of users across the country, we are committed to delivering the best online search experience.<br> As part of Dubizzle Group, we are alongside some of the strongest classified brands in the market.<br> With a collective strength of 5 brands, we have more than 123 million monthly users that trust in our dedication to providing them with the best platform for their needs.<br> As a Senior Data Analyst - Strategy, you will work closely with the Strategy team to improve processes, services, products, and software through analysis.<br> You will share a continuous focus on growth with the business leaders and will be co-responsible for building out the dubizzle/Bayut brand.<br> In this role, you will: Collaborate closely with the strategy team - translating complex datasets into actionable growth roadmaps for the Executive Committee and C-suite.<br> Act as a strategic partner to Senior Leadership, identifying high-value opportunities in growth, pricing elasticity, and operational efficiency.<br> Collaborate cross-functionally with the leadership team to align and make sure company-level targets are being met.<br> Design executive-level BI dashboards that enable real-time, data-driven decision-making for regional stakeholders.<br> Act as main POC between Analytics and Strategy teams, and execute with strong project management skills.<br> Lead end-to-end analytics projects from data extraction and modelling to presenting strategic recommendations that directly influence P&amp;L.<br> Be able to work autonomously without supervision on complex projects.<br> Develop data-driven automation initiatives to optimise business processes and maximise revenue across diverse portfolios.<br> Manage complex analytics roadmaps, prioritising competing business requests based on potential commercial impact and feasibility.<br> Leverage advanced SQL and Python/R to perform deep-dive analysis on high-volume, multi-source datasets.<br> Occasionally do some project management in analytics-heavy projects.<br> Facilitate cross-functional collaboration, integrating the analytics function into project kick-offs and top-level strategic discussions.<br> Champion data integrity and security, establishing high-standard coding protocols and centralised glossaries to ensure high-quality output.<br> Set up processes and SOPs (standard operating procedures).<br> Build and maintain a "single source of truth" by unifying data intelligence across fragmented business units and digital platforms.<br> Deliver projects within the agreed deadlines or involve other analysts to support to ensure they are met.<br> Mentor junior team members, review and validate their output.<br> A fast paced, high performing team.<br> Multicultural environment with over 60 different nationalities Competitive Tax-free Salary Comprehensive Health Insurance Annual Air Ticket Allowance Employee discounts at multiple vendors across the emirates Rewards &amp; Recognitions Learning &amp; Development Bayut &amp; dubizzle is an equal opportunity employer.<br> We celebrate diversity and are committed to creating an inclusive environment for all employees.<br> #UAEdubizzle Bachelor’s degree in Computer Science or Statistics.<br> A Master's degree is a plus.<br> 6+ years of work experience in a strategy/business analytics/sales enabler role.<br> Experience working closely with the product in an internet/e-commerce company.<br> Experience in e-commerce, internet and/or digital media.<br> Proficient in SQL.<br> Proficient in Microsoft Excel / Dashboard Tools.<br> Strong problem-solving skills.<br> Commercial and Financial concepts.<br> Ability to crunch heavy data, build insights and drive operational decision making.<br> Excellent analytical skills with a demonstrated ability to translate data and information into actionable insights and business recommendations.<br> Exceptional project management skills and attention to detail.<br> Excellent stakeholder management and communication skills.<br> Storytelling.<br> Analytical thinking; Conceptual thinking.<br> Assertive. Thrive in a fast-paced, innovative environment.<br> Living the team values: Simpler.<br> Better. Faster. Able to handle pressure well.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves Frontier coding agents are already good at passing tests.<br> We measure whether they pass them the right way .<br>We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.<br>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it: Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs Iterate on tasks and tests based on QA feedback — review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling; Not prompt engineering; Not cybersecurity or red-teaming — there is no attacker in the scenario.<br> Cybersecurity experience is a nice-to-have but not a requirement.<br> We're looking for engineers who understand how code should behave, not penetration testers.<br> Strong software engineers, not security specialists; Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for 4–5+ years in software development; Core stack: Python, JavaScript/TypeScript; Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); Familiarity with GitHub PRs and CI workflows as a user; Stack breadth is welcome, not a filter.<br> Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; English proficiency — B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it.<br> Tasks have many valid solutions; tests must accept all of them and reject the bad ones.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 20-25 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation On this project, contributors can earn up to $75 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves Frontier coding agents are already good at passing tests.<br> We measure whether they pass them the right way .<br>We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.<br>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it: Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs Iterate on tasks and tests based on QA feedback — review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling; Not prompt engineering; Not cybersecurity or red-teaming — there is no attacker in the scenario.<br> Cybersecurity experience is a nice-to-have but not a requirement.<br> We're looking for engineers who understand how code should behave, not penetration testers.<br> Strong software engineers, not security specialists; Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for 4–5+ years in software development; Core stack: Python, JavaScript/TypeScript; Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); Familiarity with GitHub PRs and CI workflows as a user; Stack breadth is welcome, not a filter.<br> Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; English proficiency — B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it.<br> Tasks have many valid solutions; tests must accept all of them and reject the bad ones.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 20-25 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation On this project, contributors can earn up to $75 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>