Python Developer Jobs in UAE

Role: Data Scientist - Python (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 a Data Scientist/Analyst to work on a full-time basis. The role involves developing and maintaining high-quality Python code to train and optimize AI models while conducting evaluations to benchmark performance and analyze results. Candidates will collaborate with researchers and annotators to execute reinforcement learning with human feedback and refine reward models.<br>Key Responsibilities:• Design, develop, and maintain efficient, high-quality code to train and optimize AI models.• Conduct evaluations to benchmark model performance and analyze results for continuous improvement.• Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria.• Develop comprehensive explanations and rationales for evaluations, showcasing excellent reasoning and technical expertise.• Lead efforts in supervised fine-tuning, including creating and maintaining high-quality, task-specific datasets.<br>Required Skills & Qualifications:• Proficiency in Python for data analysis and model development is required.• Experience with data science and machine learning techniques is required.• Ability to use business sense and analytical abilities to extract insights from public databases is required.• Strong skills in bug fixing and creating thorough technical documentation are required.• Excellent communication skills to clearly articulate reasoning and logic in Jupyter notebooks or similar formats are required.<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 cutting-edge AI systems. The position involves solving mission-critical priorities for companies through real-world AI applications.<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!

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Design and implement automated testing frameworks for agent-based systems, ensuring seamless integration within the SDLC.</p></li><li><p>Develop sophisticated test strategies that validate the emergent behaviors and complex interactions of autonomous agents.</p></li><li><p>Conduct rigorous performance and scalability testing to guarantee agent systems operate reliably under high load conditions.</p></li><li><p>Collaborate closely with AI/ML engineers and developers to debug and resolve intricate issues within agent logic and decision-making processes.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Bachelor's or Master's degree in Computer Science, Engineering, or a related field.</p></li><li><p>5+ years of experience in software quality assurance, with a focus on complex systems or AI/ML products.</p></li><li><p>Proven experience in developing and maintaining automated test scripts using Python, Java, or similar languages.</p></li><li><p>Familiarity with agent-based modeling concepts and simulation environments.</p></li></ul><p></p></section>

Role: Machine Learning (AI) Engineer (Hybrid) Location: Remote Job Type: Full-Time Payout: $200K - $500K/yr<br>Role Overview:We are hiring for one of our clients, seeking an AI/ML Engineer to develop and deploy machine learning models that power core product features. The role involves collaborating with cross-functional teams to design scalable AI solutions that enhance user experience and operational efficiency.<br>Key Responsibilities:• Design, train, and optimize machine learning models using Python, Tensor Flow, and PyTorch frameworks.• Develop and maintain data pipelines to ensure high-quality input for model training and evaluation.• Implement MLOps practices to streamline model deployment, monitoring, and version control.• Collaborate with data scientists and software engineers to integrate AI capabilities into production systems.• Conduct performance benchmarking and A/B testing to validate model accuracy and business impact.<br>Required Skills & Qualifications:• Proficiency in Python, Tensor Flow, and PyTorch for model development and training.• Experience with MLOps tools such as MLflow, Kubeflow, or Sage Maker for deployment and monitoring.• Strong background in data preprocessing, feature engineering, and model evaluation metrics.• Familiarity with cloud platforms (AWS, GCP, or Azure) for scalable AI infrastructure.• Knowledge of software engineering best practices, including version control (Git) and CI/CD pipelines.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the advancement of AI-driven product solutions. The position involves solving complex technical challenges in a collaborative environment with access to cutting-edge tools and datasets.<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!

<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>he AI Engineer is responsible for developing, testing, and deploying AI/ML and Generative AI solutions, including LLM-based applications, RAG pipelines, and Agentic workflows. This role also includes the ability to deploy and run LLMs on local/on-premise servers, supporting secure and efficient AI solution delivery in enterprise environments. </p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor’s degree in Computer Science, AI, Data Science, or related field. 2+ years of experience in AI/ML development. Strong programming skills in Python. Hands-on experience with: o Machine learning frameworks (Scikit-learn, PyTorch, or TensorFlow) o Basic NLP concepts Understanding of ML model lifecycle (training, evaluation, deployment). Familiarity with REST APIs and integration concepts. Experience with Git/version control.</p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job description <p>​</p><br><p><b>Discover the Opportunity</b></p><br><p>We are partnering with a major government entity in Abu Dhabi that is building next-generation AI products and platforms to support large-scale digital transformation across the public sector.</p><br><p>This role sits within a central AI function responsible for developing production-grade AI applications, combining applied AI engineering, product thinking, and full-stack software development.</p><br><p>This is an excellent opportunity for a hands-on engineer who can own AI-powered products end-to-end, from RAG pipelines and agent workflows through to APIs and user-facing interfaces.</p><br><p><b><br>Discover the Responsibilities</b></p><br><ul><li><p>Design and build end-to-end AI-powered product features, including assistants, copilots, knowledge tools, and automation workflows.</p><br></li><li><p>Develop RAG pipelines covering document ingestion, vector search, embedding models, reranking, and retrieval quality evaluation.</p><br></li><li><p>Build and integrate agent-based AI workflows capable of multi-step reasoning, tool use, and planning.<br>Create user-facing interfaces using React, including conversational UIs, streaming responses, real-time feedback, and error handling</p><br></li><li><p>Design and build backend services and APIs in Python or Java to expose AI capabilities to products and platforms.</p><br></li><li><p>Work with PostgreSQL to support AI product features, evaluation pipelines, and operational analytics.</p><br></li><li><p>Define evaluation frameworks, quality metrics, and monitoring approaches to measure AI behaviour and detect regressions.</p><br></li><li><p>Translate ambiguous product and operational requirements into well-scoped engineering problems with measurable outcomes.</p><br></li><li><p>Build reusable components, API patterns, and AI integration libraries that enable scalable adoption across multiple entities.</p><br></li></ul><p><b><br>Discover the Requirements</b></p><br><ul><li><p>5+ years of software engineering experience, with a strong track record of building and shipping production systems.</p><br></li><li><p>Proven ability to own product features end-to-end across AI backend, API layer, and user interface.</p><br></li><li><p>Strong Python experience, ideally building LLM-powered systems, AI pipelines, and backend services.</p><br></li><li><p>Solid React experience, including component architecture, state management, performance optimisation, and responsive UI development.</p><br></li><li><p>Experience building production-grade backend APIs using Python or Java, with strong understanding of reliability, authentication, error handling, and scalability.</p><br></li><li><p>Working proficiency with PostgreSQL, including schema design, query optimisation, and data modelling.</p><br></li><li><p>Strong understanding of the practical challenges of deploying LLMs in production, including hallucination, latency, context degradation, and calibration.</p><br></li><li><p>Experience with RAG systems, agentic AI workflows, LLM evaluation, or AI product monitoring is highly desirable.</p><br></li><li><p>Exposure to tools and frameworks such as LangChain, LangGraph, vector databases, Docker, cloud platforms, and CI/CD pipelines would be advantageous.</p><br></li><li><p>Strong product mindset, clear communication skills, and the ability to make evidence-based technical decisions.</p><br></li></ul><br> </div>

<ul><li><p>Develop and execute comprehensive test plans and test cases to validate product functionality and performance against specifications.</p></li><li><p>Identify, document, and track software defects using bug tracking systems, collaborating with development teams for timely resolution.</p></li><li><p>Design and implement automated testing frameworks and scripts to enhance testing efficiency and coverage for regression and functional testing.</p></li><li><p>Conduct thorough root cause analysis of defects, providing detailed reports and recommendations for process improvements.</p></li><li><p>Interior Fit-Out/Construction UAE Experience Mandatory Hands-on Experience in QA/QC Processes, ITPs, Material Inspections & NCR Management</p></li><li><p>Knowledge of UAE Quality Standards, Material Specifications & Consultant Approval Procedures is an Added Advantage</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Engineering, or a related technical field.</li><li>Minimum of 3-5 years of proven experience in Quality Assurance or Quality Control engineering.</li><li>Proficiency in at least one programming language (e.g., Python, Java, C#) for test automation.</li><li>Experience with test automation tools such as Selenium, Appium, or Cypress.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> We're building a network of exceptional professionals for upcoming enterprise-scale technology,&nbsp;<strong>AI, digital transformation, and energy sector initiatives&nbsp;</strong>across the UAE and the wider GCC. Whether you're actively exploring new opportunities or simply interested in staying connected, we'd love to hear from you. By joining our Talent Community, you'll be considered for future projects and permanent opportunities across a range of high-impact programmes.<br> <br> Areas of Expertise: <strong>Product Engineering</strong> <ul> <li>Solution Architects </li><li>Backend Engineers </li><li>Front-End Engineers </li><li>Full Stack Engineers </li><li>UI/UX Designers </li><li>Infrastructure Engineers (SRE/AIOps) </li></ul> <p><strong>Skills of interest</strong> Cloud Platforms, Kubernetes, Python, Node.js, Angular, Microservices, DevOps, Terraform, CI/CD, Observability, Platform Engineering.<br> &nbsp;</p><br><br> <p><strong>Why Join Our Talent Community?</strong></p><br><br> <p>✅ Be considered for upcoming opportunities before they are publicly advertised<br> ✅ Connect with projects across AI, Technology, Energy and Digital Transformation<br> ✅ Receive updates on relevant opportunities matching your expertise<br> ✅ Build a relationship with our specialist recruitment team<br> ✅ Participate in future contract, consulting and permanent opportunities</p><br><br> <br><br> </div>

Role: Engineering Manager (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 Engineering Manager to lead the development of high-quality, foundational large language models through supervised fine tuning and reinforcement learning from human feedback tasks.<br>Key Responsibilities:• Lead and manage teams of 20+ Python, Java Script, Java, and other language developers to execute technical tasks effectively.• Collaborate closely with researcher clients to ensure satisfaction with delivered work.• Maintain rigorous review processes to ensure the highest quality of datasets.• Oversee project transitions from initiation to stable states, taking full responsibility for delivery.• Identify and implement measures to enhance the quality of code within the team.<br>Required Skills & Qualifications:• 8+ years of professional software engineering experience, including 3+ years in an engineering management role.• Proven experience managing large technical teams in a delivery-oriented role.• Experience with Python or Java and Java Script.• Demonstrated ability to engage in hands-on technical work, identifying and resolving quality issues.• Excellent leadership and people management skills, with a focus on motivating teams.<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 transformation of AI systems from proof of concept into proprietary intelligence with measurable impact.<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!

Machine Learning Engineer<br>Position: Machine Learning Engineer<br>Type: Hourly Contract<br>Compensation: $80–$140/hour<br>Location: Remote<br>About the Opportunity This opportunity is for experienced Machine Learning Engineers with expertise in Python, machine learning, data analysis, model development, and Mongo DB to contribute to advanced AI training and evaluation projects. You'll apply your technical expertise to design and refine machine learning solutions, analyze datasets, evaluate model performance, and develop reliable workflows that support the training and deployment of next-generation AI systems. Responsibilities Design, develop, and refine machine learning models using Python and relevant ML frameworks. Analyze and process large datasets for model training, validation, and evaluation. Use Mongo DB for efficient data storage, manipulation, querying, and retrieval. Develop and maintain data preprocessing and feature engineering pipelines. Evaluate model performance using appropriate metrics, benchmarking, and validation techniques. Perform hyperparameter tuning and iterative model optimization. Collaborate with cross-functional teams to identify opportunities for model and workflow improvements. Integrate data pipelines into training and inference workflows. Document experiments, methodologies, results, and technical decisions to ensure reproducibility. Provide actionable insights and recommendations based on machine learning and data-driven findings. Required Qualifications Professional experience working as a Machine Learning Engineer, ML Developer, Data Scientist, or similar role. Strong proficiency in Python and machine learning development. Hands-on experience with machine learning frameworks such as scikit-learn, Tensor Flow, or PyTorch. Practical experience using Mongo DB for data management and retrieval. Strong understanding of machine learning algorithms, model evaluation, and data preprocessing. Experience with feature engineering, hyperparameter tuning, and model benchmarking. Strong analytical and problem-solving abilities. Excellent written communication and technical documentation skills. Ability to work independently and collaborate effectively in a remote environment. Preferred Qualifications Experience deploying or operationalizing machine learning models in cloud or enterprise environments. Familiarity with ML pipelines, model serving, and inference workflows. Experience working with large-scale datasets and production ML systems. Knowledge of MLOps, model monitoring, or automated ML workflows. Experience contributing to AI training, model evaluation, or data-quality initiatives. Strong understanding of scalable data and machine learning architectures. Ability to adapt quickly to evolving technical requirements and project priorities. Compensation Competitive compensation of $80–$140/hour. Hourly contract engagement. Fully remote with flexible working arrangements. Opportunity to contribute to next-generation AI training and evaluation projects. Application Process Easy Apply on Linked InCheck Email for Next Steps Complete the required assessment based on your professional background Participate in the interview/evaluation stage Hiring team review

<p>Position Title: AI Software Developer Employment Type: Full Time Salary AED: up to 12,000 inclusive depending on experience and qualifications Job Location: Abu Dhabi, UAE About the Client: An established industrial manufacturing company headquartered in Abu Dhabi delivering engineered fastening solutions to the industrial sectors across Middle East. Job Description: Develop and maintain AI-powered business applications, intelligent automation tools, and internal digital solutions. Build full-stack web applications using Python/Django, Node.js, React.js, HTML/CSS/JavaScript, and REST APIs. Integrate LLMs, prompt engineering, vector databases, and AI models into practical business applications and workflows. Work with the IT team on requirements, application support, databases, and occasional basic infrastructure/networking tasks.</p><p>40 years old and below At least 3 years of software development experience with strong hands-on expertise in Python and Django, along with full-stack development using React.js, JavaScript, HTML/CSS, REST APIs, and working knowledge of Node.js. Practical experience developing LLM/Generative AI applications, including prompt engineering, with preferably hands-on exposure to RAG and vector databases. Strong proficiency in NumPy and Pandas, with solid database knowledge and preferably experience working with Microsoft SQL Server. How to Apply: Send your CV in word format to: ITJOBZ2020 AT GMAIL DOT COM and use “AI Software Developer” as email subject</p>

Role: Data Science engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<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 development of cutting-edge AI solutions that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<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!

Senior Manager - ML & AI Safety United Arab Emirates Permanent Position<br>We are looking for a Senior Manager to help lead AI safety and readiness projects for a bank in the UAE. <br>You will be a key player between business and technical, ensuring the safety and security of the businesses AI solutions. <br>Your responsibilities:Gen AI Evals and Guardrails Predictive Machine Learning Stakeholder Management: AI project teams/ AI CoE members Policies, Processes, Systems and Procedures Identify opportunities within the AI roadmap<br>Experience needed:Experience in banking or financial services7+ years in ML or Data Science Python code proficiency XAI libraries LLM evaluation frameworks (e.g., Ragas, Giskard, Arize) Systems Design Leadership and management<br>Industry Banking or FS<br>Degree MSc or PhD in Com Sci, Data Science, Statistics or related field. *Must have a degree to apply for this job*<br>Package Tax free salary & bonus Visa + family Medical insurance + family Relocation allowances (if relocating from overseas)<br>**Due to the high volume of applicants, only candidates with the above experience will be contacted**

External Job Description<br><br>Job Title: Senior AI Engineer<br><br>Qualifications / Education / Experience / Training<br><br>Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Minimum 3 years of experience in designing and implementing machine learning algorithms. Strong understanding of Data Science, Machine Learning, and Deep Learning, with experience in computer vision. Proficiency in Python and C/C++ is required. Experience working in Linux environments, including shell scripting, and familiarity with Git and Docker.<br><br>Job Responsibilities (Key Result Areas)<br><br>Develop software components based on defined requirements and design specifications. Analyze, debug, and resolve software issues on embedded devices and PC-based systems. Perform software integration and ensure proper functioning across modules. Conduct verification activities such as testing, analysis, and reviews to ensure quality and reliability.<br><br>Collaborate with cross-functional teams to solve complex problems using AI, computer vision, and video analytics techniques. Develop and maintain video analytics solutions on edge devices using Python and C/C++. Implement algorithms for object detection, tracking, recognition, and classification.<br><br>Ensure compliance with software development standards, quality assurance processes, and configuration management guidelines. Follow company policies, statutory regulations, and safety requirements.<br><br>Operating Environment<br><br>Work in a dynamic environment with changing priorities and tight deadlines. Ability to work under pressure and extend working hours when required. Willingness to travel and provide field support during testing. Operate under general guidance from a Manager or Mentor, with responsibility for planning and prioritizing daily tasks.<br><br>#ADASI

<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>

Role: Engineering Manager (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 Engineering Manager to lead the development of high-quality, foundational large language models through supervised fine tuning and reinforcement learning from human feedback tasks.<br>Key Responsibilities:• Lead and manage teams of 20+ Python, Java Script, Java, and other language developers to execute technical tasks effectively.• Collaborate closely with researcher clients to ensure satisfaction with delivered work.• Maintain rigorous review processes to ensure the highest quality of datasets.• Oversee project transitions from initiation to stable states, taking full responsibility for delivery.• Identify and implement measures to enhance the quality of code within the team.<br>Required Skills & Qualifications:• 8+ years of professional software engineering experience, including 3+ years in an engineering management role.• Proven experience managing large technical teams in a delivery-oriented role.• Experience with Python or Java and Java Script.• Demonstrated ability to engage in hands-on technical work, identifying and resolving quality issues.• Excellent leadership and people management skills, with a focus on motivating teams.<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 transformation of AI systems from proof of concept into proprietary intelligence with measurable impact.<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!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Role Summary We are looking for a hands-on Data Engineer with strong ETL and PySpark expertise to design, build, and support data pipelines and data marts within a banking environment.<br> The ideal candidate will own the full SDLC lifecycle — from build through UAT, production deployment, and post-production support — while working across structured, semi-structured, and unstructured data.<br> Key Responsibilities Design, develop, and maintain ETL pipelines and data marts using PySpark and Python Write clean, maintainable, and production-grade Python code following software engineering best practices Own end-to-end SDLC activities: build, UAT support, UAT bug fixes, production deployment, and post-production support Perform data analysis and debugging using Oracle SQL and PySpark Work across structured, semi-structured, and unstructured data sources Build and maintain data warehousing solutions supporting banking/financial reporting needs Debug and optimize PySpark jobs for performance and reliability Collaborate with cross-functional teams (QA, DBAs, business analysts) through the release cycle Participate in CI/CD pipeline processes, including testing and validation of data pipelines Ensure data pipeline reliability, scalability, and adherence to banking data governance/compliance standards Required Skills &amp; Experience 5+ years of commercial experience in a data-driven engineering role Hands-on experience building data marts and ETL pipelines Expert-level PySpark and Python for ETL scripting Strong command of Oracle SQL for data analysis and debugging Proven experience across the full SDLC — build, UAT, bug fixing, deployment, post-prod support Strong understanding of software engineering concepts and best practices for production pipelines Experience working with structured, semi-structured, and unstructured data Prior experience with banking clients or strong banking domain knowledge Strong data warehousing fundamentals Tech Stack (Daily Use) Languages: Python Big Data: Spark / PySpark, Hadoop, MapReduce, Hive Data Libraries: Pandas Databases: SQL and NoSQL DBMS Tools: Jupyter Practices: CI/CD, data testing &amp; validation Nice to Have (optional — add if applicable) Cloud experience (AWS/Azure/GCP) — not mentioned in your input, confirm with client Airflow or other orchestration tools Experience with regulatory/compliance reporting in banking</span> </div>

Role: AI/ML Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $130/hour<br>Role Overview:We are hiring for one of our clients, seeking an AI/ML Engineer to work on a contract basis. The role involves developing and deploying machine learning models to solve complex business problems. You will collaborate with cross-functional teams to integrate AI solutions into production systems.<br>Key Responsibilities:• Design, develop, and optimize machine learning models using Python and relevant frameworks.• Preprocess, clean, and transform large datasets to prepare them for model training.• Deploy and monitor machine learning models in production environments.• Collaborate with software engineers to integrate AI solutions into existing infrastructure.• Conduct performance benchmarking and model validation to ensure accuracy and efficiency.<br>Required Skills & Qualifications:• Proficiency in Python with experience in machine learning libraries such as Tensor Flow or PyTorch.• Experience with data preprocessing, feature engineering, and model evaluation.• Knowledge of cloud platforms (AWS, GCP, or Azure) for model deployment and scaling.• Familiarity with MLOps practices, including CI/CD pipelines for machine learning.• Strong problem-solving skills with the ability to translate business requirements into technical solutions.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the development of scalable AI solutions for enterprise applications. The position provides exposure to cutting-edge technologies and the chance to impact high-impact projects.<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!

Full Stack Desk Developer – Dubai - 150k+<br>RJC is working a Full Stack Desk developer role for a global energy trading company based in Dubai. Working as part of the Cross Commodity Trading Desk, they are looking for a developer to work closely with traders in a quant/full stack capacity<br>The role demands intellectually curious developers with some practical commodity trading experience to confidently communicate ideas and solutions to commercially minded traders and analyst.<br>The ideal Full Stack Desk developer will have:<br>Minimum 5+ years Python development experience Commercial experience with front end development in Java Script (preferably React.js) Experience working within a trading environment (energy or commodities preferred) and functional understanding of trade flows Ability to work effectively under pressure with traders and demanding front office users Good understanding of energy market data<br>Apply below with an up to date CV below to set up an initial call.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><strong>About the Role:</strong><br><p>We are seeking a detail-oriented Risk Analyst to join our team in Saudi Arabia. In this role, you will identify, assess, and monitor operational and financial risks, deliver data-driven insights, and work closely with internal and external stakeholders to drive risk mitigation strategies and regulatory compliance.</p><br><strong>Responsibilities:</strong><br><ul><li>Conduct comprehensive risk assessments and scenario analyses using quantitative and qualitative methodologies</li><li>Develop, maintain, and enhance risk models and reporting tools to track key risk indicators</li><li>Prepare timely risk reports and presentations for senior management and regulatory bodies</li><li>Collaborate with business units and stakeholders to identify risk exposures and implement mitigation plans</li><li>Monitor changes in regulatory requirements and ensure compliance with local and international regulations</li><li>Support the development and implementation of risk management policies, procedures, and controls</li></ul><br><strong>Required Qualifications:</strong><br><ul><li>2–5 years of experience in risk analysis, financial auditing, or related fields</li><li>Bachelor’s degree in Finance, Economics, Risk Management, or a related discipline</li><li>Proven experience with risk analysis methodologies and technical tools</li><li>Strong reporting skills, including data extraction and presentation using Excel or risk management software</li><li>Excellent stakeholder management and communication skills, both written and verbal</li><li>Sound understanding of Saudi Arabian regulatory frameworks and industry best practices</li><li>Demonstrated analytical thinking and problem-solving abilities</li></ul><br><strong>Preferred Qualifications:</strong><br><ul><li>Professional certification such as FRM, PRM, or CFA</li><li>Experience in banking, energy, or oil and gas sectors</li><li>Familiarity with local regulatory authorities (SAMA, CMA)</li><li>Hands-on experience with SQL, Python, or data visualization tools (Power BI, Tableau)</li></ul><br></div></section>