Python Developer Jobs in UAE

Role: Senior AI Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking an AI Benchmark Engineer — Software Engineering to work on a full-time basis. The role involves designing and building high-quality multi-agent benchmark tasks grounded in real-world open-source code changes such as bug fixes, migrations, and refactors. You will evaluate how effectively AI agents understand large codebases, apply precise modifications, and produce correct, testable outputs.<br>Key Responsibilities:• Design and build multi-agent benchmark tasks based on real-world open-source code changes, including bug fixes, migrations, and refactors.• Work within the Harbor evaluation framework to run and validate tasks inside Docker environments.• Write clear, precise task instructions specifying file paths, function signatures, expected behavior, and constraints.• Develop Python-based verification scripts to validate correctness of agent-generated code changes.• Decompose complex engineering problems across multiple specialized agents and refine tasks within containerized environments.<br>Required Skills & Qualifications:• 5+ years of experience in Python and Java Script development.• Experience with AI coding benchmarks such as SWE-bench or Terminal-bench.• Strong ability to read and navigate large open-source codebases, including frameworks like Django, Flask, Fast API, or Node.js.• Familiarity with Git workflows, including pull requests, diffs, cherry-picking, and working with specific commits.• Experience with Docker, including writing Dockerfiles and managing builds.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the advancement of AI systems that solve mission-critical priorities. The work directly supports the evaluation of cutting-edge AI agents in real-world software engineering scenarios.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Senior AI Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking an AI Benchmark Engineer — Software Engineering to work on a full-time basis. The role involves designing and building high-quality multi-agent benchmark tasks grounded in real-world open-source code changes such as bug fixes, migrations, and refactors. You will evaluate how effectively AI agents understand large codebases, apply precise modifications, and produce correct, testable outputs.<br>Key Responsibilities:• Design and build multi-agent benchmark tasks based on real-world open-source code changes, including bug fixes, migrations, and refactors.• Work within the Harbor evaluation framework to run and validate tasks inside Docker environments.• Write clear, precise task instructions specifying file paths, function signatures, expected behavior, and constraints.• Develop Python-based verification scripts to validate correctness of agent-generated code changes.• Decompose complex engineering problems across multiple specialized agents and refine tasks within containerized environments.<br>Required Skills & Qualifications:• 5+ years of experience in Python and Java Script development.• Experience with AI coding benchmarks such as SWE-bench or Terminal-bench.• Strong ability to read and navigate large open-source codebases, including frameworks like Django, Flask, Fast API, or Node.js.• Familiarity with Git workflows, including pull requests, diffs, cherry-picking, and working with specific commits.• Experience with Docker, including writing Dockerfiles and managing builds.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the advancement of AI systems that solve mission-critical priorities. The work directly supports the evaluation of cutting-edge AI agents in real-world software engineering scenarios.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Lead end-to-end delivery of scalable web platforms and APIs for enterprise and high-growth clients.<br><br>Requisitos:<br><br> 5+ years building with Node.js + React/Next.js Experience designing distributed & microservice architectures Strong grounding in cloud (AWS or Azure) and IaC Hands-on com Dev Ops, observability & CI/CD Clear written & spoken English<br><br>O Que Oferecemos:<br><br>$70k–$100k annual base Remote-first Performance bonus Learning budget Flexible PTO<br><br>Design, train and deploy ML systems (forecasting, NLP, computer vision) with strong focus on production reliability.<br><br>Requisitos:<br><br> 3+ years Python & ML frameworks (PyTorch / Tensor Flow) Experiência prática com pipelines RAG & LLM fine-tuning Conhecimento de MLOps (registry, feature store, CI para ML) Rigor em avaliação & dados Graduação em Computação/Engenharia ou experiência equivalente<br><br>O Que Oferecemos:<br><br>$80k–$120k annual base Stock options Remote-first Learning budget Wellness stipend<br><br>Implement IoT/edge solutions and integrate PLC, SCADA & MES ecosystems driving downtime reduction and traceability.<br><br>Requisitos:<br><br> Industrial networking & protocolos (MQTT, OPC-UA, Modbus) Integração PLC (Siemens / Allen-Bradley) & SCADA Engenharia (Elétrica / Mecatrônica / Automação) Coleta de dados & telemetria Disponibilidade para viagens regionais<br><br>O Que Oferecemos:<br><br>$60k–$90k annual equivalent Company car Travel allowance Performance bonus<br><br>Shape intuitive, accessible product experiences from discovery research through high-fidelity delivery & iteration.<br><br>Requisitos:<br><br> 3+ years shipping production UX/UI Portfolio evidenciando resolução centrada no usuário Figma avançado (components, variants, prototyping) Criação & governança de design systems Colaboração cross-functional<br><br>O Que Oferecemos:<br><br>$45–$65 hourly Flexible schedule Tools & software budget Remote-first Annual design conference stipend<br><br>Plan, execute & optimize multi-channel acquisition, run structured experimentation and improve activation & retention metrics.<br><br>Requisitos:<br><br> 2+ years managing paid channels (Google / Meta / Linked In) A/B testing & CRO methodology SQL & marketing analytics dashboards Tag Manager & event instrumentation Data-driven storytelling<br><br>O Que Oferecemos:<br><br>$50k–$70k annual base Performance bonus Remote workspace stipend Learning budget Flexible PTO<br><br>Join delivery squads, ship small features, receive structured mentorship and build real portfolio impact.<br><br>Requisitos:<br><br> Enrolled in CS / Software Engineering or related program Foundational Java Script + one backend language (Python / Node) Git & basic terminal usage Curiosity & growth mindset Availability ~20–30h/week<br><br>O Que Oferecemos:<br><br>$600–$800 monthly stipend Weekly mentorship Learning resources Remote-first Wellness stipend

Udrive is seeking a detail-oriented and motivated Junior Data Analyst to support cross-functional analytics needs for our business. This role will assist our analytics team in managing operational reporting, automating workflows, conducting exploratory analyses, and ensuring data integrity across platforms.<br><br>You’ll work closely with business teams including Operations, Product, Marketing, and Customer Service to deliver data-driven insights and maintain reporting excellence.<br><br>Key Responsibilities<br><br>Reporting, Analysis Visualization: Build and maintain recurring reports and dashboards using Tableau Excel, and internal tools. Track key performance indicators (KPIs) across fleet, operations, marketing, and business lines. Assist in visual storytelling and communicating insights to stakeholders in a clear, digestible format. Conduct exploratory and ad-hoc analyses to support initiatives like fleet optimization, customer segmentation, marketing initiatives. Collaborate with marketing, product, engineering to derive actionable insights from raw datasets. Support the automation of recurring data processes using SQL, Python Data Quality Governance: Perform data audits to ensure consistency, accuracy, and completeness. Identify and flag anomalies, track data lineage, and maintain documentation for analytics workflows. Document Data Processes, Dashboards Requests Collaboration Support Partner with stakeholders in Operations, Marketing, Product, and CS to address analytical requests and performance queries. Help train teams in reading dashboards and interpreting KPIs.<br><br>Qualifications Skills<br><br>Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field.0–2 years of experience in a data analyst or business analyst role. Proficiency in SQL and working knowledge of Python (Pandas, Num Py, etc.). Experience with data visualization (Tableau, Power BI, Super Set) Strong Excel/Google Sheets skills. Comfortable working with large datasets and drawing actionable insights. Detail-oriented, with a problem-solving mindset and a proactive attitude. Preferred Skills Exposure to Super Set, GA4, NoSQL, CAC, LTV Jira, Confluence Understanding of business metrics in the mobility, logistics, or Saa S industry is a plus. Ability to work in a fast-paced startup environment. Understanding and experience of data pipelines / ETL concepts is preferred.

???? #Hiring | Senior Full Stack Developer | Abu Dhabi, UAEWe are looking for a Senior Full Stack Developer (8–10+ years) with strong expertise in modern web development and backend architecture.???? Location: Abu Dhabi, UAE???? Experience: 8–10+ Years???? Mandatory Skills:• Python• React — MUST• Angular — MUST• Banking/Financial Services domain — MUST• Java & Spring Boot• Microservices & REST APIs• AWS / Cloud• SQL & NoSQL (Oracle/Postgre SQL/Mongo DB)• Kafka / Messaging• Docker & Kubernetes• CI/CD• Type Script / Java Script⭐ Good to have: Flutter/Dart, Next.js, Node.js, Graph QL, OAuth2/OIDC, Redux/NgRx, Jenkins/Git Lab CI/CD. The ideal candidate should have strong hands-on coding experience, architecture knowledge, leadership capabilities, and experience delivering large-scale enterprise applications in an Agile environment.<br>Job Description Job Title: FSD with Web development experience(Sr Fullstack Developer) • Work Location: Abu Dhabi (UAE) • Experience Range (Min–Max): 8-10+ years of experience • Top Three Mandatory Skills: Python, Angular, REACT is a MUST, banking domain experience is a MUST • Certifications (Required/Preferred): N/A<br>Key Responsibilities  Senior professional with 6–10 years of experience.  Translate application storyboards and use cases into functional applications.  Design, build, and maintain efficient, reusable, and reliable Java code and backend microservices.  Design, develop, and maintain responsive web applications (React, Angular, or Next.js) and cross-platform mobile applications using Flutter.  Build and integrate web and mobile clients with RESTful APIs and backend services.  Ensure the best possible performance, quality, and responsiveness across web, mobile, and backend.  Ensure application accessibility, usability, and cross-browser/cross-device compatibility.  Identify bottlenecks and bugs, and devise solutions to these problems.  Help maintain code quality, organization, and automation.  Manage the team and successfully deliver the project.<br>Skills & Experience:  Strong hands-on experience with React, Angular (6+), or Next.js, including Java Script/Type Script, HTML5, CSS3, and responsive web development.  Hands-on experience building cross-platform mobile applications with Flutter and Dart.  Familiarity with mobile app lifecycle, native integration, and app store deployment (Play Store / App Store).  Experience with client-side routing, navigation, and route guards.  Experience with state management (Redux, Context API, NgRx on web; Provider, Riverpod, or Bloc on Flutter).  Experience with frontend build tools (Webpack, Vite) and package managers (npm, yarn, pub).  Experience integrating web and mobile apps with REST/Graph QL APIs.  Knowledge of client-side security — OAuth2/OIDC flows, secure token handling, and prevention of client-side vulnerabilities (XSS, CSRF).  Working knowledge of Node.js.  Experience testing applications (unit, integration, and end-to-end — Jest, React Testing Library, Cypress/Playwright on web; Flutter test framework on mobile). <br>Backend & Architecture (core requirement)  Working experience in an agile software development environment with a good understanding of agile architecture principles. Strong collaborative mindset for collective decentralized decision making.  Strong technical skills with a deep understanding of modern architectural styles such as Microservices, Containers, Cloud (AWS, Azure), APIs, Continuous Delivery, Event driven and Evolutionary architecture, with a passion for hands-on coding.  Strong foundation in software architecture concepts, patterns, principles, and quality attributes, with a pragmatic, system-thinking, problem-solving mindset.  Proven leadership skills with a proactive, positive, growth mindset and an egoless, empathetic communication style.  Experience delivering architectures for large software solutions, discovering technical debt, and prioritizing technical backlog with product owners and enterprise architects.  Proficient in Java & Java EE, with skill to write reusable components/Java libraries.  Work experience in Spring framework (Spring Core / Batch / AOP / Data / JDBC / Boot / Reactive), Hibernate ORM, Spring Security, and OAuth2 implementation.  Deep familiarity with cloud platforms such as AWS, Azure, or Google.  Familiarity with OOP, MVC, JDBC, and RESTful concepts; experience with WSDL, XML, XSD, JSON, and Swagger/Open API specification.  Experience in NoSQL (Mongo DB preferable) and RDBMS (Oracle, Postgre SQL); able to write complex SQL queries, procedures, and functions.  Experience with AWS services — API Gateway, Dynamo DB, Lambda, SQS, SNS, Lambda Authorizer, Kinesis, IAM, and SAM.  Work experience in Python.  Design and create database schemas that represent and support business processes.  Experience with messaging technologies — JMS, Active MQ, IBM MQ, and Apache Kafka.  Container-based architecture — Kubernetes, Docker, CI/CD (Jenkins, Git Lab CI/CD).  Proficient with code versioning tools — Azure Repos, Bitbucket, Git, Git Lab.  Familiarity with build tools such as Ant, Maven, and Gradle.???? Interested candidates can share their CV / DM for details.???? Interested? Apply now or share your profile at dhamani@datacube.ae / LinkedIn Apply Tag someone who would be a great fit! ???????? Important Note:???? Profiles without direct and strong experience in the above key points will not be considered.???? Please share within your network if you know a highly suitable profile.????#Hiring #Job Opening #Senior Developer #Full Stack Developer #Java Developer #Python Developer #React Developer #Angular Developer #Banking Jobs #Banking #Fin Tech #Abu Dhabi Jobs #UAEJobs #Software Developer #Microservices #Spring Boot #AWS #Kubernetes #Kafka

<ul><li>Design, develop, and deploy sophisticated conversational AI models, including NLU, NLG, and dialogue management systems, to power intelligent chatbots and virtual assistants.</li><li>Implement and fine-tune state-of-the-art machine learning algorithms and deep learning architectures for intent recognition, entity extraction, and sentiment analysis.</li><li>Build and maintain robust data pipelines for training and evaluating conversational AI models, ensuring data quality and scalability.</li><li>Integrate conversational AI solutions with existing platforms and APIs, enabling seamless user experiences across various channels.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Education & Experience �Bachelor’s or Master’s degree in Computer Science, #ArtificialIntelligence, Data Science, Engineering, or a related field. �4–8 years of experience in AI/ML, NLP, Generative AI, or Conversational AI development. �Minimum 2+ years of hands-on experience building #LLM/ #GenerativeAI solutions. �Strong experience delivering AI solutions from development through production deployment. Required Technical Skills �Strong programming experience in #Python. �Hands-on experience with Generative AI and Large Language Models (LLMs). �Strong understanding of NLP, Machine Learning, and #ConversationalAI concepts. �Experience developing #RAG-based applications and knowledge-grounded AI solutions. �Experience with Prompt Engineering and #LLM evaluation. �Hands-on experience with #LangChain, #LangGraph, #LlamaIndex, or equivalent frameworks. �Experience with vector databases such as Pinecone, Milvus, Weaviate, Chroma, or FAISS. �Experience working with #RESTAPIs, #microservices, and cloud-based AI services. �Good understanding of #SQL and #NoSQL databases. �Experience with #Git, #CI/CD, #Docker, and #cloud platforms such as #Azure, #AWS, or GCP. Skills Python LLM NLP</p></li></ul>

<p>International Energy Resources is seeking an experienced Odoo ERP Techno-Functional Engineer to join our growing team. This role is ideal for someone who combines strong Odoo development expertise with a solid understanding of ERP business processes and enjoys working closely with stakeholders to deliver practical business solutions. As part of our digital transformation journey, you will play a key role in enhancing our Odoo ERP platform, supporting business process improvements, leading system integrations, and preparing the organization for the UAE's upcoming e-Invoicing requirements.</p><br><p><strong>Key Responsibilities:</strong></p><br><ul><li><p>Analyze business requirements and translate them into functional and technical ERP solutions.</p></li><li><p>Configure, customize, and develop Odoo modules across Finance, Procurement, Inventory, Manufacturing. </p></li><li><p>Lead and support the implementation of UAE e-Invoicing requirements, including system integrations and regulatory compliance.</p></li><li><p>Develop and maintain custom Odoo applications using Python.</p></li><li><p>Integrate Odoo with third-party systems, APIs, and business applications.</p></li><li><p>Support ERP enhancements, upgrades, testing, deployments, and user training.</p></li><li><p>Collaborate with business users to optimize workflows and improve operational efficiency.</p></li><li><p>Troubleshoot system issues and provide ongoing technical and functional support.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ol><li><p>Experience with UAE e-Invoicing, VAT compliance, ERP integrations is a strong advantage.</p></li><li><p>Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.</p></li><li><p>Minimum 3–5 years of experience in Odoo ERP development and techno-functional consulting.</p></li><li><p>Strong experience with Odoo v17+ and Python.</p></li><li><p>Good understanding of Manufacturing, Inventory, Procurement, Finance, and Supply Chain processes.</p></li><li><p>Knowledge of ERP implementation methodologies and business process mapping.</p></li></ol>

<ul><li><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. The role will build intelligent systems that integrate complex backend services and client-facing applications across web, mobile and enterprise platforms. The primary responsibility is 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. A commitment to collaborative problem solving, sophisticated design and product quality is essential. This role requires strong hands-on engineering experience, practical working knowledge of modern agent frameworks, and the ability to deliver secure, scalable, observable and governed AI solutions in cloud-native environments.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Minimum Qualification</p><ul><li><p>Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Data Science, Artificial Intelligence or a related discipline.</p></li><li><p>Relevant cloud, AI engineering, machine learning or architecture certifications are preferred.</p></li></ul><p>Minimum Experience</p><ul><li><p>Senior professional with around 10 years of total software engineering, architecture, cloud or platform engineering experience.</p></li><li><p>Minimum 3+ years of relevant hands-on AI Engineering experience, including Generative AI and practical LLM-based application delivery.</p></li><li><p>Strong proficiency in Python, including NumPy, pandas, FastAPI and hands-on experience with PyTorch or TensorFlow.</p></li><li><p>Hands-on experience with LangChain and LangGraph; mandatory working experience with Microsoft Semantic Kernel and Microsoft AutoGen.</p></li><li><p>Experience implementing RAG using embeddings, vector databases, semantic search, retrieval optimization and model evaluation techniques.</p></li><li><p>Experience deploying and managing models using Amazon Bedrock, Azure OpenAI Service and Google Vertex AI.</p></li><li><p>Hands-on experience with microservices, containers, APIs, event-driven architecture, cloud-native services and evolutionary architecture practices.</p></li><li><p>Experience managing and deploying AI workloads on Kubernetes in cloud-native and/or hybrid environments.</p></li><li><p>Experience with CI/CD tools such as Jenkins or GitLab, DevOps toolchains, configuration management and cloud/on-prem deployment pipelines.</p></li><li><p>Experience setting up pipelines with static code analysis, requirement tagging in Jira, quality gates and release governance.</p></li><li><p>Experience operating monitoring tools for traditional infrastructure, cloud environments and AI-enabled business applications.</p></li><li><p>Strong hands-on problem-solving mindset with the ability to analyze trade-offs and deliver sustainable, secure and high-quality solutions.</p></li></ul><p>Key Technical Skills</p><ul><li><p>Generative AI, Agentic AI, autonomous agents, multi-agent orchestration and workflow-based AI systems.</p></li><li><p>LLMs, embeddings, vector databases, RAG, semantic search, model evaluation, guardrails, observability and AI governance.</p></li><li><p>Semantic Kernel, AutoGen, LangChain, LangGraph and similar agent frameworks.</p></li><li><p>Python, FastAPI, PyTorch/TensorFlow, REST APIs, microservices, serverless functions and event-driven integration.</p></li><li><p>Azure, AWS, Kubernetes, containers, CI/CD, DevOps automation, monitoring and secure software delivery.</p></li></ul><p>Behavioural / Leadership Skills</p><ul><li><p>Strong collaborative mindset for agile architecture and decentralized decision making.</p></li><li><p>Proactive, positive and growth-oriented leadership style with the ability to motivate engineers and foster craftsmanship.</p></li><li><p>Strong communication, stakeholder engagement and influencing skills across product, business, architecture and engineering teams.</p></li><li><p>Analytical, system-thinking and pragmatic problem-solving approach with commitment to product quality.</p></li></ul><p>Skills</p><p>Generative AI</p><p>Python</p><p>Kubernetes</p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for an experienced Senior Data Engineer with strong expertise in PySpark, Python, and Cloudera Data Platform (CDP) to join a high-performing Data Engineering team supporting enterprise-scale Digital Products &amp; Transaction Banking initiatives.<br> The ideal candidate will have extensive experience designing, building, and optimizing large-scale data pipelines within modern Big Data ecosystems.<br> This role requires strong technical expertise in distributed data processing, cloud-native data platforms, data quality, and enterprise data engineering best practices.<br> The successful candidate will work closely with Data Architects, Data Scientists, Analytics teams, Product Owners, and Business Stakeholders to deliver scalable, secure, and high-performance data solutions that power business intelligence, analytics, and machine learning initiatives.<br> Key Responsibilities Design, develop, and maintain scalable, high-performance data pipelines using PySpark and Python .<br> Build robust batch and distributed data processing solutions using Cloudera Data Platform (CDP) .<br> Develop and optimize ETL/ELT pipelines for structured and unstructured enterprise datasets.<br> Design scalable data ingestion frameworks from multiple enterprise data sources.<br> Ensure high data quality, integrity, governance, and availability across enterprise platforms.<br> Perform data profiling, cleansing, transformation, and validation activities.<br> Optimize Spark jobs for performance, scalability, and resource utilization.<br> Work closely with Data Scientists to prepare datasets for analytics and machine learning use cases.<br> Collaborate with Product Owners, Business Analysts, Architects, and cross-functional engineering teams.<br> Monitor, troubleshoot, and resolve production data pipeline issues.<br> Participate in code reviews and implement engineering best practices.<br> Create technical documentation and maintain data engineering standards.<br> Support continuous improvement of enterprise data platforms and engineering processes.<br> Participate in Agile/Scrum ceremonies including sprint planning, backlog grooming, stand-ups, and retrospectives.<br> Required Technical Skills 8–10+ years of experience in Data Engineering.<br> Strong hands-on expertise in Python .<br> Strong hands-on expertise in PySpark .<br> Extensive experience with Cloudera Data Platform (CDP) .<br> Strong understanding of distributed data processing frameworks.<br> Experience building enterprise-scale ETL/ELT pipelines.<br> Strong knowledge of Big Data technologies.<br> Experience with Hadoop ecosystem technologies.<br> Strong SQL programming and query optimization skills.<br> Experience with data modelling and data transformation techniques.<br> Knowledge of data quality, validation, and governance principles.<br> Experience working with Git and version control systems.<br> Understanding of CI/CD practices for data engineering.<br> Strong understanding of REST APIs and data integration patterns.<br> Experience working with structured, semi-structured, and unstructured datasets.<br> Nice to Have Experience working with cloud-native data platforms.<br> Exposure to machine learning data pipelines.<br> Knowledge of feature engineering and data preparation for AI/ML workloads.<br> Experience with workflow orchestration tools.<br> Exposure to containerization technologies such as Docker and Kubernetes.<br> Experience with DevOps practices for Data Engineering.<br> Required Competencies Strong analytical and problem-solving skills.<br> Excellent communication and stakeholder management skills.<br> Ability to work in fast-paced Agile delivery environments.<br> Strong ownership mindset with focus on quality and delivery.<br> Ability to collaborate effectively with business and technical stakeholders.<br> Strong debugging and performance optimization capabilities.<br> Ability to manage multiple priorities and deliver within tight timelines.<br> Preferred Domain Experience Banking Financial Services Digital Products Transaction Banking Enterprise Data Platforms</span> </div>

The Role:You own the part of the platform our clients actually touch. Regulatory affairs professionals will live in this product eight hours a day — every screen you build either saves them an hour or costs them one. The technical lead owns the architecture, tenancy and security model; a platform engineer owns infrastructure, data pipelines and the AI layer. You own the product surface: Product frontend (≈55%). Build the client-facing application in React and Type Script: the dossier workspace, application trackers, submission status views, renewal calendars, dense data tables and the long regulatory forms that must not lose a user's work. Accessible, fast, and usable on a laptop in a client meeting. Backend feature work (≈25%). Build the endpoints behind your own screens — REST APIs, filtering and search, validation, file upload and document preview, and client-facing exports of the data on your own screens — under code review from the technical lead. Full-stack means you are not blocked waiting for someone else's API. Internal tools & reporting (≈20%). Turn the dashboards and trackers our regulatory teams maintain by hand into real screens: workload views, expiry and renewal alerts, client status reports. This is where you learn the domain fast, and where your work pays off inside the business before launch. Our Stack :Frontend: React + Type Script + Vite, Tan Stack Query and Tan Stack Table, Tailwind CSS,/Radix primitives, React Hook Form + Zod Backend: Python 3.12, Django + Django REST Framework, Celery + Redis Database: Postgre SQL (Azure Database for Postgre SQL Flexible Server) Cloud: Microsoft Azure — UAE North today, migrating to the Azure Saudi Arabia East region when it goes live Identity: Microsoft Entra ID for staff, Entra External ID for client users Documents & AI: Azure AI Document Intelligence (Arabic printed and handwritten), Claude via Microsoft Foundry — always behind a human-review gate you will build the interface for Testing: Playwright for end-to-end, Vitest for units Infra & CI: Docker, Azure Container Apps, Terraform, Git Hub Actions (owned by our platform engineer) Ways of working: trunk-based development, code review before merge, no production data in development You are not expected to know all of this. We screen on fundamentals — strong React and Type Script, and enough backend to build your own endpoints — and we teach the rest. If your experience is Vue, Angular, Flask or Fast API, apply anyway; it transfers within a fortnight. Must-Haves:2–4 years of hands-on experience building web applications that real people used in production. Strong React and Type Script, and modern CSS you write yourself rather than only assembling from a template. You have shipped something people used, and you can talk about a UI decision you made and why. Enough backend competence to build your own endpoints — Python preferred, since our backend is Django; Node or another server-side language is acceptable if the Python appetite is there — plus working SQL. Real care about the user's workflow. You ask what the person is trying to finish before you decide what to draw. Clear written communication — our clients are compliance professionals; sloppy is expensive. How to Apply Apply here: mrg.com.sa/en/careers/apply?job=product-engineer-fullstack Along with your CV, please include: A link to something you have built that has a user interface — a live app, a Git Hub repo, a portfolio, anything real. 5–10 lines on an interface you improved: what was wrong with it, what you changed, and how you knew the new version was better.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job Full Stack Developer (React &amp; Django) Senior Fullstack Developer (React &amp;&nbsp;Django) About Us <p>Our regional office, based in Dubai, manages the UAE market and collaborates closely with key global stakeholders.</p><br> <p>We operate in a lean and efficient organization with a flat management structure, enabling quick decision-making and direct communication with leadership.</p><br> Why Join Us? <ul><li>Work with important industry players and contribute to impactful projects.</li><li>Join a stable and well-established organization with a solid reputation.</li><li>Enjoy on-time payments and a professional, highly-skilled team culture.</li><li>Benefit from mutual knowledge sharing and skill development in a collaborative environment.</li><li>Experience minimal hierarchy and direct access to decision-makers.</li></ul> Role Description <p>As a Senior Fullstack Developer, you will:</p><br> <ul><li>Design, build, and maintain scalable applications with a focus on React for responsive, user-friendly, and accessible interfaces.</li><li>Develop efficient product data workflows, enabling users to validate and share product information.</li><li>Build and maintain Python/Django backend systems for data aggregation, transformation, and partner integrations (via APIs or dedicated pipelines).</li><li>Integrate with leading BI and enterprise platforms such as Snowflake, Salesforce, and Tableau.</li></ul> Candidate Profile <ul><li>English proficiency level B1, enabling effective communication and active participation in daily meetings, sprint planning, backlog refinement, sprint reviews, and discussions with Product Managers and the Tech Lead.</li><li>At least <strong>4 years</strong> of hands-on experience in full-stack development using <strong>React (TypeScript)</strong> and <strong>Python (Django)</strong>.</li><li>Proficiency in working with relational databases, particularly <strong>PostgreSQL</strong>.</li><li>Solid understanding of <strong>API-first architectures</strong> and integration best practices.</li><li>Strong analytical thinking for interpreting documentation and designing integrations.</li></ul> Bonus Skills <ul><li>Experience with <strong>Django Ninja</strong> and <strong>Celery</strong> for background processing.</li><li>Advanced React experience, including <strong>RTK Query</strong> for data fetching and caching.</li></ul> What We Offer <ul><li>Work from office.</li><li>Competitive compensation, paid on time.</li><li>Additional paid leave depending on tenure.</li><li>A culture of shared growth and peer learning.</li></ul> <p>Apply now!</p><br> <br> <br> </div>

<p>Working at the intersection of quantitative modelling, software engineering and investment analytics, you will lead the continued evolution of a proprietary in-house platform while remaining deeply involved in architecture, coding and model development. Client Details Our client is a leading institutional investment organisation. Description * Own and enhance a proprietary liquidity and return modelling framework covering both public and private market investments. * Lead the development of institutional-grade analytical applications built in Python and SQL, supporting portfolio management and balance sheet modelling activities. * Design and oversee enterprise data architecture, ETL processes and system integrations across investment, performance and accounting platforms. * Deliver scalable analytics and reporting solutions used by senior leadership and governing committees for investment decision-making. * Manage external development resources whilst establishing engineering standards, development governance and technical best practice. Job Offer * Opportunity to work on complex public and private market portfolios within a sophisticated institutional investment environment. * Competitive package and long-term career growth within a high-performing investment team.</p><p>* 8-10+ years' experience within a sovereign wealth fund, pension fund, endowment, insurance asset manager, secondaries investor or institutional investment platform. * Demonstrated experience developing or maintaining quantitative models for liquidity forecasting, portfolio cash flows, commitment pacing, return forecasting or asset allocation across public and private markets. * Advanced hands-on programming experience in Python and SQL, with the ability to independently analyse, debug and enhance production code. * Strong knowledge of investment data architecture, database technologies, ETL frameworks and Snowflake environments. * Previous experience leading technical resources and working directly with investment professionals, portfolio analytics teams and senior stakeholders.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br><br>Working at the intersection of quantitative modelling, software engineering and investment analytics, you will lead the continued evolution of a proprietary in-house platform while remaining deeply involved in architecture, coding and model development.<br><br>Client Details<br><br>Our client is a leading institutional investment organisation.<br><br>Description<br>Own and enhance a proprietary liquidity and return modelling framework covering both public and private market investments.Lead the development of institutional-grade analytical applications built in Python and SQL, supporting portfolio management and balance sheet modelling activities.Design and oversee enterprise data architecture, ETL processes and system integrations across investment, performance and accounting platforms.Deliver scalable analytics and reporting solutions used by senior leadership and governing committees for investment decision-making.Manage external development resources whilst establishing engineering standards, development governance and technical best practice.<br><br><br>Profile<br>8-10+ years' experience within a sovereign wealth fund, pension fund, endowment, insurance asset manager, secondaries investor or institutional investment platform.Demonstrated experience developing or maintaining quantitative models for liquidity forecasting, portfolio cash flows, commitment pacing, return forecasting or asset allocation across public and private markets.Advanced hands-on programming experience in Python and SQL, with the ability to independently analyse, debug and enhance production code.Strong knowledge of investment data architecture, database technologies, ETL frameworks and Snowflake environments.Previous experience leading technical resources and working directly with investment professionals, portfolio analytics teams and senior stakeholders.<br><br><br>Job Offer<br>Opportunity to work on complex public and private market portfolios within a sophisticated institutional investment environment.Competitive package and long-term career growth within a high-performing investment team.<br><br> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills">Liquidity and return modelling<br> </div>

Quantitative Analyst (Multi-Asset) Dubai, UAEPermanent Role<br>We are interested in speaking to Quantitative Analysts to join a systematic trading business in Dubai and work on Multi-Asset investing and allocation strategies.<br>We are looking for:Multi-asset investing strategies Develop quantitative models for systematic investment Optimization, risk analytics, and backtesting frameworks Familiarity with portfolio construction and allocation strategies Solid understanding of financial markets and datasets Strong track record in at least one asset class Python proficiency PhD in Math, Com Sci, or other relevant STEM<br>Package (tax-free) Salary Annual bonus Flight allowances Schooling allowance for children Visa & Medical Relocation assistance (container, flights, hotel)<br>**Only applicants with the above skillset in their profile will be contacted**

<ul><li>Design and implement robust data pipelines that ensure seamless data flow from various sources to data storage solutions.</li><li>Optimize data ingestion and transformation processes to improve performance and reduce latency for real-time analytics.</li><li>Collaborate with data scientists and analysts to understand data requirements and translate them into technical specifications.</li><li>Ensure data quality and integrity by implementing automated data validation and monitoring systems.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field.</p></li><li><p>4+ years of experience in Data Engineering, Data Integration, and Cloud Data Platforms.</p></li><li><p>Strong expertise in Azure Data Factory, Azure Databricks, Azure Data Lake Storage Gen2, Azure Synapse Analytics, and Storage Accounts.</p></li><li><p>Hands-on experience with Databricks Medallion Architecture and Delta Lake implementation.</p></li><li><p>Extensive experience building solutions using Python and PySpark.</p></li><li><p>Proven experience integrating Microsoft Dynamics 365, Salesforce, Oracle Fusion, SharePoint, REST APIs, SFTP, and database systems.</p></li><li><p>Strong understanding of ETL/ELT frameworks, data modeling, and data warehousing concepts.</p></li><li><p>Experience with Self-Hosted Integration Runtime (SHIR) configuration and maintenance.</p></li><li><p>Strong SQL development and database optimization skills.</p></li><li><p>Excellent troubleshooting, analytical, and problem-solving abilities.</p></li><li><p>Strong communication, stakeholder management, and documentation skills.</p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><span><strong>Role Overview</strong></span></span><br> <span><span>Seeking a Perception Engineer to develop and enhance a perception stack using both classical computer vision techniques and modern deep learning approaches. The role focuses on end-to-end learning systems while maintaining strong grounding in traditional methods. The work supports real-time, deployable perception systems for autonomous navigation across diverse environments and robotic platforms.</span></span><br> <br> <span><span><strong>Key Responsibilities</strong></span></span> <ul> <li><span><span>Design and implement robust, real-time perception modules for both structured (on-road) and unstructured (off-road) environments using learning-based and geometric methods.</span></span> </li><li><span><span>Develop clean, modular, and efficient code in C++ and Python, following ROS1/ROS2 and industry best practices.</span></span> </li><li><span><span>Conduct extensive field testing and iterative system tuning to ensure performance and reliability under real-world conditions.</span></span> </li><li><span><span>Work closely with adjacent system components such as localization, planning, and control to enable seamless integration.</span></span> </li><li><span><span>Participate in code reviews and maintain clear, detailed technical documentation.</span></span> </li><li><span><span>Integrate HD map data (e.g., Lanelet2 and semantic layers) into perception pipelines to support object-level reasoning, localization, and terrain adaptation.</span></span> </li></ul> <span><span><strong>Minimum Qualifications and Skills</strong></span></span> <ul> <li><span><span>Bachelor’s or Master’s degree in Robotics, Computer Vision, or a related field.</span></span> </li><li><span><span>4+ years of experience in real-time perception or computer vision systems.</span></span> </li><li><span><span>Proficiency with libraries and tools such as OpenCV, PCL, Open3D, PyTorch, and TensorRT.</span></span> </li><li><span><span>Strong understanding of deep learning architectures (e.g., CNNs, transformers) and their application in perception tasks.</span></span> </li><li><span><span>Familiarity with modern perception approaches such as LSS, BEVFormer, BEVFusion, and ability to assess trade-offs between accuracy, latency, and deployability.</span></span> </li><li><span><span>Strong programming skills in Python and C++, with experience in ROS1 or ROS2 systems.</span></span> </li><li><span><span>Experience with modern development workflows and tools such as Git, Docker, and CI/CD systems.</span></span> </li></ul> <span><span><strong>Preferred Qualifications and Skills</strong></span></span> <ul> <li><span><span>Experience combining traditional perception techniques with deep learning-based methods.</span></span> </li><li><span><span>Familiarity with experiment management and MLOps tools such as Hydra, Weights &amp; Biases, AWS SageMaker, or GCP.</span></span> </li><li><span><span>Knowledge of HD map frameworks such as Lanelet2 or similar systems.</span></span> </li><li><span><span>Experience working with ARM64-based edge devices, including NVIDIA Jetson platforms.</span></span> </li></ul> <span><span><strong>Additional Skills</strong></span></span> <ul> <li><span><span>Strong communication skills with the ability to explain complex technical concepts clearly.</span></span> </li><li><span><span>Ability to work independently in fast-paced environments.</span></span> </li><li><span><span>Comfortable balancing experimental prototyping with debugging real-world system challenges</span></span> </li></ul> <br> &nbsp; <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Job Description:</strong></p><br><p>The Department of Mechanical and Aerospace Engineering at the United Arab Emirates University invites applications for a full-time Research Assistant under the 24-month A-TRIP project "Smart Aqua-PV: A Solar-Powered Digital Twin and AI-Driven Smart Aquaculture Pilot for Sustainable Protein Production in Arid Environments," conducted in collaboration with the Massachusetts Institute of Technology (MIT). The Research Assistant will support the installation, operation, and experimental validation of a solar-powered recirculating aquaculture system; deployment, calibration, and maintenance of water-quality, environmental, IoT, and piezo-acoustic sensors; continuous data logging and quality control; monitoring of fish health, feeding, RAS performance, PV generation, battery status, and system uptime; controlled stress tests; preliminary Python/MATLAB analysis and dashboard/digital-twin support; and preparation of technical reports, publications, manuals, and stakeholder workshops. Regular on-site work at UAEU research facilities is required. </p><br><p><strong>Minimum Qualifications:</strong></p><br><p>• Master's degree in Mechanical, Electrical, Computer, Environmental, Agricultural/Aquaculture Engineering, or a closely related field. • Hands-on experience with experimental systems, sensors, instrumentation, data acquisition, IoT, or control. • Working knowledge of Python, MATLAB, or comparable data-analysis tools. • Strong data-management, technical writing, and communication skills. • Ability to work independently, safely, and collaboratively in laboratory and field settings. </p><br><p><strong>Preferred Qualifications:</strong></p><br><p>• Experience with recirculating aquaculture systems, aquaponics, water-quality monitoring, or fish-production systems. • Experience with solar PV, batteries, pumps, aeration, renewable-energy systems, or energy management. • Familiarity with Arduino, ESP32, Raspberry Pi, cloud dashboards, databases, or wireless sensor networks. • Exposure to machine learning, time-series prediction, anomaly detection, or digital-twin modeling. • Peer-reviewed publications or experience supporting multidisciplinary research projects. </p><br> </div>

<ul><li><p>Design and implement scalable solutions to enhance system reliability and performance.</p></li><li><p>Collaborate with development teams to integrate reliability practices into the software development lifecycle.</p></li><li><p>Monitor and analyze system performance metrics to identify and resolve issues proactively.</p></li><li><p>Develop and maintain automated monitoring and alerting systems to ensure rapid detection of potential problems.</p></li><li><p>Create and enforce best practices for incident management and response.</p></li><li><p>Work on capacity planning and resource optimization to ensure efficient use of Azure services.</p></li><li><p>Implement disaster recovery strategies to safeguard data and services.</p></li><li><p>Provide technical leadership and guidance to junior engineers and other stakeholders.</p></li><li><p>Contribute to the development of documentation for system architecture, processes, and procedures.</p></li><li><p>Stay updated with the latest Azure technologies and industry best practices to drive continuous improvement.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Proven experience in a similar SRE role, with a focus on Azure cloud services.</p></li><li><p>Strong understanding of system design principles and software architecture.</p></li><li><p>Proficiency in scripting and programming languages such as Python, PowerShell, or Bash.</p></li><li><p>Experience with Azure services including VMs, Storage, Networking, and Monitoring tools.</p></li><li><p>Knowledge of continuous integration/continuous deployment (CI/CD) pipelines and tools.</p></li><li><p>Familiarity with containerization technologies like Docker and orchestration platforms such as Kubernetes.</p></li><li><p>Ability to work in a fast-paced, agile environment with a focus on delivering high-quality results.</p></li><li><p>Excellent problem-solving skills with a proactive approach to identifying and mitigating issues.</p></li><li><p>Strong communication skills to effectively collaborate with cross-functional teams.</p></li><li><p>Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.</p></li></ul><p><strong>Primary Skills:</strong></p><ul><li><p>Azure cloud services</p></li><li><p>Incident management</p></li><li><p>Scripting/programming</p></li></ul><p><strong>Key Skills:</strong></p><ul><li><p>Docker</p></li><li><p>Kubernetes</p></li><li><p>CI/CD</p></li><li><p>Python</p></li><li><p>PowerShell</p></li><li><p>Bash</p></li><li><p>Monitoring tools</p></li><li><p>Networking</p></li><li><p>Containerization</p></li><li><p>Performance tuning</p></li></ul><br><p><strong>Skills</strong></p><p>Azure cloud services</p><p>Incident management</p><p>Scripting/programming</p>

<ul><li><p>Develop and support AI applications using <strong>Python, Generative AI, and Large Language Models (LLMs)</strong>.</p></li><li><p>Design, execute, and automate comprehensive <strong>AI test strategies</strong>&nbsp;across the AI application lifecycle.</p></li><li><p>Validate AI models, LLMs, AI agents, and agentic workflows for accuracy, consistency, reliability, and safety.</p></li><li><p>Perform <strong>functional, integration, regression, performance, security, and user acceptance testing</strong>&nbsp;for AI solutions.</p></li><li><p>Conduct <strong>LLM evaluation, prompt testing, hallucination testing, bias and fairness assessments, and guardrail validation</strong>.</p></li><li><p>Develop automated frameworks for testing AI agents, chatbots, copilots, and autonomous workflows.</p></li><li><p>Define and track AI quality metrics, benchmarks, and acceptance criteria.</p></li><li><p>Identify, analyze, and resolve defects related to AI outputs, workflows, and model behavior.</p></li><li><p>Collaborate with business stakeholders and development teams to ensure production-ready AI solutions for airline operations.</p></li></ul><br><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Strong programming expertise in <strong>Python</strong>.</p></li><li><p>Hands-on experience with <strong>LLMs, Generative AI, RAG architectures, Vector Databases, and AI Models</strong>.</p></li><li><p>Experience with AI frameworks such as <strong>LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, or Semantic Kernel</strong>.</p></li><li><p>Experience developing and testing <strong>AI Agents, Agentic AI solutions, Chatbots, and Conversational AI platforms</strong>.</p></li><li><p>Strong expertise in <strong>AI Testing</strong>, including:</p></li><li><p>LLM Evaluation & Validation</p></li><li><p>AI Agent Testing</p></li><li><p>Prompt Testing & Optimization</p></li><li><p>Hallucination Testing</p></li><li><p>Bias & Fairness Testing</p></li><li><p>Functional Testing</p></li><li><p>Integration Testing</p></li><li><p>Regression Testing</p></li><li><p>Performance & Load Testing</p></li><li><p>Security & Responsible AI Testing</p></li><li><p>Test Automation for AI Applications</p></li><li><p>Experience creating AI quality frameworks, test cases, evaluation datasets, and benchmarking methodologies.</p></li><li><p>Familiarity with Azure OpenAI, AWS AI, Google AI services, or equivalent platforms.</p></li></ul><br><p><strong>Domain Experience</strong></p><ul><li><p>Experience in the <strong>Airline, Aviation, Travel, or Transportation domain is required.</strong></p></li><li><p>Knowledge of airline operations, reservations, customer service, crew management, airport operations, or passenger experience solutions is an advantage.</p></li></ul><br><p><strong>Preferred Qualifications</strong></p><ul><li><p>Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.</p></li><li><p>Certifications in AI, Machine Learning, Software Testing, or Cloud Technologies are preferred.<br><br></p></li></ul>

The client is seeking experienced Portfolio Managers across a range of strategies; including but not limited to:<br>Stat Arb Equities Systematic Macro Fixed Income Relative Value Medium-Frequency Systematic Futures Systematic Commodities Equity Long/Short Event-Driven Micro Relative Value Macro Vol<br>In this role, you will be responsible for managing a significant capital allocation. They are looking for professionals who can generate unique insights within their investment universe, contribute to the firm's broader strategic outlook, and leverage collective knowledge to generate alpha.<br>Requirements:Proven track record in portfolio management, demonstrated by strong investment acumen and a Sharpe Ratio greater than 1.5A minimum of 3 years of experience managing capital Hands on python programming<br>If you're an experienced portfolio manager passionate about financial markets, please reach out to anushi.hakked@selbyjennings.com