Python Developer Jobs in UAE

Role: Technical Recruiter (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $160K - $300K/yr<br>Role Overview:This role focuses on developing and refining an AI-powered recruitment tool named Zara to automate candidate sourcing, screening, and engagement processes. The position requires deep technical expertise in machine learning and AI systems while collaborating with cross-functional teams to deploy scalable solutions.<br>Key Responsibilities:• Design, implement, and optimize machine learning models to improve Zara’s candidate matching accuracy and efficiency.• Develop and maintain backend infrastructure supporting natural language processing for resume parsing and job description analysis.• Integrate Zara with applicant tracking systems, HR databases, and third-party job platforms via APIs.• Collaborate with data scientists and product teams to refine AI training datasets and evaluate model performance metrics.• Ensure compliance with privacy regulations and ethical AI standards in recruitment workflows.<br>Required Skills & Qualifications:• Proficiency in Python, including experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong background in natural language processing, including experience with libraries such as spa Cy or Hugging Face.• Experience building and deploying scalable AI systems in production environments.• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker.• Knowledge of SQL and NoSQL databases for data extraction and integration.• Understanding of ethical AI principles and bias mitigation techniques in recruitment systems.• Experience with RESTful APIs and microservices architecture.• Background in data pipeline development and ETL processes.<br>More About the Opportunity:This role offers a unique opportunity to work on a cutting-edge AI recruiter system used by organizations worldwide. The position contributes to reducing hiring bias and improving talent acquisition efficiency through technology.<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!

<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Builds and ships production AI features for client products: retrieval-augmented generation pipelines, agents, and copilots that move real workflows.</p><p><br></p><p><b>What you'll do</b>&nbsp;</p><ul><li>Design, build, and deploy LLM-powered applications, agents, and copilots for client products&nbsp;</li><li>Build retrieval-augmented generation (RAG) pipelines and vector database integrations&nbsp;</li><li>Integrate large language model APIs into production systems with attention to cost and latency&nbsp;</li><li>Write evaluation harnesses to measure model quality before and after shipping&nbsp;</li><li>Work directly with client and product teams to turn business requirements into working AI features&nbsp;</li><li>Monitor deployed AI systems for drift, cost overruns, and reliability issues</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><ul><li>3+ years of professional software engineering experience, including 1+ years building LLM-based applications&nbsp;</li><li>Strong Python and working knowledge of LangChain, LlamaIndex, or a comparable orchestration framework&nbsp;</li><li>Experience with a vector database (Pinecone, Weaviate, pgvector, or similar)&nbsp;</li><li>Solid understanding of prompt design, RAG architecture, and evaluation methods&nbsp;</li><li>Comfortable working directly on AWS, Azure, or GCP&nbsp;</li></ul><p><br></p></div>

Role: Math Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $80 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Math Expert (PhD) to develop and optimize mathematical models for AI-driven platforms. The role involves designing algorithms to improve performance metrics and scalability for high-traffic applications.<br>Key Responsibilities:• Develop and refine mathematical models to enhance AI-driven decision-making systems.• Analyze large datasets to identify patterns and validate model accuracy.• Collaborate with cross-functional teams to integrate mathematical solutions into production environments.• Conduct peer reviews of mathematical frameworks to ensure robustness and efficiency.• Document findings and methodologies for internal and external stakeholders.<br>Required Skills & Qualifications:• PhD in Mathematics, Applied Mathematics, or a related quantitative field is required.• Proficiency in Python, MATLAB, or R for mathematical modeling and simulation.• Strong background in statistical analysis, optimization, and numerical methods.• Experience with machine learning frameworks such as Tensor Flow or PyTorch is preferred.• Ability to translate complex mathematical concepts into actionable insights for technical teams.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Data Infrastructure and Analytics industry, contributing to the development of next-generation AI solutions. The position requires a high degree of autonomy and the ability to work in a fast-paced, remote 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!

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ol><li><p>Advanced Agentic Orchestration</p></li></ol><ul><li><p>Design and implement complex, stateful multi-agent systems</p></li></ul><p>using LangGraph or CrewAI.</p><ul><li><p>Build "Agentic RAG" pipelines that utilize LlamaIndex or Haystack or similar for</p></li></ul><p>advanced reasoning over structured and unstructured datasets.</p><ul><li><p>Implement custom tool-calling logic and Model Context Protocol (MCP) integrations</p></li></ul><p>to connect agents with internal databases and APIs.</p><ol><li><p>AI Safety &amp; Governance (The Guardrails Layer)</p></li></ol><ul><li><p>Architect a unified "Safety Perimeter" using Guardrails AI or NVIDIA NeMo Guardrails or similar.</p></li><li><p>Develop real-time monitoring and observability for LLM inputs/outputs using Arize</p></li></ul><p>Phoenix, LangSmith (OSS version), or MLflow or similar.</p><br><p> Must-Have Open Source Expertise Languages Expert-level Python (asyncio, Pydantic v2) and TypeScript/Node.js. Orchestration LangGraph, CrewAI, or AutoGen (OSS SDK). Inference/Serving vLLM, Hugging Face TGI, or Seldon Core. Safety &amp; Trust Guardrails AI, NeMo Guardrails, or Meta Llama Guard. Vector Databases Milvus, Weaviate, Qdrant, or ChromaDB. Observability Arize Phoenix, OpenTelemetry, or Prometheus/Grafana. Infrastructure Docker, Kubernetes (K8s), and Terraform/Pulumi.</p><br></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Experience Level: Senior (6+ Years in Software Engineering, 2+ Years in GenAI) Stack Focus: LangGraph, CrewAI, Guardrails AI, React, Kubernetes</p><p></p></section>

Role: EMember of Technical Staff - Enterprise AI (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $250K - $500K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff, Enterprise AI to work on a full-time basis. The role involves designing, building, and deploying scalable AI systems for enterprise environments. Candidates will collaborate with cross-functional teams to integrate AI solutions into existing technical infrastructure.<br>Key Responsibilities:• Develop and optimize AI models for enterprise applications, focusing on performance, scalability, and reliability.• Design and implement machine learning pipelines to support data ingestion, processing, and model training.• Collaborate with software engineers to integrate AI components into production systems and APIs.• Evaluate and select appropriate AI frameworks and tools to meet business and technical requirements.• Maintain documentation for AI systems, including architecture diagrams, model specifications, and deployment procedures.<br>Required Skills & Qualifications:• Bachelor's or advanced degree in Computer Science, Engineering, or a related quantitative field.• 5+ years of experience in software development with a focus on AI or machine learning applications.• Proficiency in Python, with experience in frameworks such as Tensor Flow, PyTorch, or JAX.• Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for model deployment and monitoring.• Strong problem-solving skills and ability to design end-to-end AI solutions for complex enterprise challenges.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | IT Services and IT Consulting | Information Services industry, contributing to the development of cutting-edge AI technologies that drive business transformation. The position provides exposure to high-impact projects and the chance to shape the future of enterprise AI solutions.<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: Member of Technical Staff - Medical Research (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $350K - $500K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff, Medical Research to work on a full-time basis. The role involves designing and implementing computational methods to analyze medical data, developing algorithms for diagnostic and therapeutic applications, and contributing to peer-reviewed research publications in high-impact journals.<br>Key Responsibilities:• Design, develop, and validate machine learning models for medical imaging analysis and clinical decision support.• Collaborate with cross-functional teams including clinicians, data scientists, and software engineers to translate research into scalable solutions.• Publish findings in academic journals and present results at conferences to advance the state of medical research.• Optimize algorithms for performance, accuracy, and computational efficiency on large-scale medical datasets.• Contribute to the development of internal tools and frameworks that accelerate medical research workflows.<br>Required Skills & Qualifications:• PhD or equivalent experience in Computer Science, Biomedical Engineering, or a related field with a focus on medical applications.• Proven expertise in machine learning, deep learning, and statistical modeling applied to medical data.• Proficiency in programming languages such as Python, R, or Julia, with experience in medical data processing libraries (e.g., Tensor Flow, PyTorch, scikit-learn).• Experience with medical imaging data (e.g., MRI, CT, X-ray) and relevant toolkits (e.g., ITK, Simple ITK, MONAI).• Strong publication record in peer-reviewed medical or AI research journals.• Familiarity with healthcare data standards (e.g., DICOM, HL7) and regulatory compliance (e.g., HIPAA, GDPR).• Ability to work in a fast-paced research environment with iterative development cycles.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Biotechnology Research industry, contributing to breakthroughs in medical diagnostics and treatment optimization. The position combines cutting-edge AI research with real-world clinical impact, enabling the translation of academic findings into scalable healthcare solutions.<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"> Company Description<br>Job Description<br><p><strong>We are&nbsp;</strong>currently looking for<strong> &nbsp;AI Solutions Engineer for (Offshore/Onsite) our UAE operations</strong> with the following terms &amp; conditions.</p><br><p><strong>Qualifications:</strong></p><br><p>Education: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related field.</p><br><p><strong>Experience:</strong></p><br><ul><li>Good years of experience in AI, machine learning, and solution architecture, with a proven track record of designing and deploying AI solutions.</li><li>Hands-on experience with AI tools and platforms and cloud services like Microsoft Azure.</li><li>Strong background in machine learning algorithms, deep learning, data processing, and systems integration. Ability to drive architecture governance, code quality, and technical standards.</li><li>Proven experience delivering AI and digital transformation solutions within financial services, banking, fintech, regulatory authorities, or highly regulated environments, with a strong understanding of compliance, governance, risk management, and regulatory requirements.</li></ul><p><strong>Technical Skills:</strong></p><br><ul><li>Proficient in programming languages such as Python, Java, or C++.</li><li>Familiarity with data pipeline tools and frameworks</li><li>Experience with cloud infrastructure, containerization (Docker, Kubernetes), and DevOps practices.</li><li>Solid understanding of data architecture, data science, security, and privacy considerations in AI systems.</li><li>Design AI solutions integrated with enterprise platforms (Salesforce CRM, datalakes, CMS, APIs). Hands-on experience with frameworks like Hugging Face, LangChain, Foundry, OpenAI APIs etc.</li><li>Demonstrated experience in designing, developing, and deploying Agentic AI solutions, including autonomous AI agents, multi-agent systems, AI orchestration frameworks, and agent-based workflow automation using platforms such as Azure AI Foundry, Agentforce, etc</li></ul><p><br> <strong>Soft Skills:</strong></p><br><ul><li>Strong analytical and problem-solving skills.</li><li>Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.</li><li>Leadership experience and the ability to work effectively in cross-functional teams.</li><li>Detail-oriented and focused on delivering high-quality, scalable solutions.</li></ul><p><strong>Data &amp; Integration:</strong></p><br><ul><li>Familiarity with data engineering tools, data lakehouses (Fabric), and ETL pipelines.</li><li>Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware.</li></ul><p><strong>Experience:</strong><strong>6 to 8 Years</strong></p><br><p><strong>Preferred Qualifications:</strong></p><br><p>Experience with advanced AI techniques such as reinforcement learning, natural language processing, or computer vision.<br> Knowledge of AI ethics and bias mitigation strategies.</p><br><p><strong>Terms and conditions</strong></p><br><p><strong>Joining time frame:</strong> Immediate</p><br><br>Additional Information<br><p><strong><u>Terms and conditions:</u></strong>&nbsp;</p><br><p><strong>Joining time frame:</strong>&nbsp;&nbsp; <strong>maximum 4 weeks</strong></p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Overview Of The Role:</b></p><p>The Senior Data Scientist will lead the development of advanced machine learning models to optimize demand forecasting and pricing strategies, driving increased profitability and customer satisfaction. This role requires a high level of expertise in Generative AI, MLOps, and cross-functional collaboration to ensure the seamless integration of data-driven solutions within the business. Success in this role is measured by the accuracy and robustness of predictive models, the optimization of pricing strategies, and the overall enhancement of customer analytics.</p><p><br></p><p><b>What You Will Do:</b></p><ul><li>Design, develop, and deploy demand forecasting models using traditional and machine learning techniques like ARIMA, XGBoost, and LSTM.</li><li>Leverage Generative AI (GenAI) to enhance demand forecasting accuracy by simulating future demand scenarios and improving model predictions.</li><li>Implement dynamic pricing models using advanced algorithms to optimize pricing strategies based on demand predictions, inventory levels, and competitor data.</li><li>Analyze customer behavior by applying clustering algorithms and predicting customer lifetime value (CLV) with machine learning models to drive personalized pricing strategies.</li><li>Monitor, evaluate, and fine-tune model performance using metrics such as MAE, RMSE, and Precision/Recall, continuously improving model accuracy and robustness.</li><li>Apply MLOps practices, including version control, model deployment pipelines, and automated testing, to ensure seamless integration, monitoring, and scaling of models across environments.</li><li>Collaborate with cross-functional teams, including marketing, product, and sales, to ensure alignment between forecasting models and business objectives.</li><li>Deploy and scale forecasting and pricing models on Azure cloud platform, leveraging CI/CD pipelines and model monitoring tools for real-time performance tracking and proactive issue resolution.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Required Skills To Be Successful:</b></p><ul><li>Advanced machine learning model development and optimization skills.</li><li>Expertise in Generative AI techniques for demand forecasting.</li><li>Proficiency in MLOps practices and model deployment pipelines.</li><li>Strong communication and collaboration abilities with cross-functional teams.</li></ul><p><br></p><p><b>What Qualifies You For The Role:</b></p><ul><li>Master's degree in Statistics, Data Science, Machine Learning, Mathematics, Computer Science, or a related quantitative field.</li><li>10+ years of experience in data science, with at least 5+ years focused on demand forecasting, price optimization, and customer analytics.</li><li>Strong hands-on experience with ARIMA, XGBoost, LSTM, and OR models.</li><li>Proficiency in Python, SQL, Databricks, and cloud platforms (Azure, GCP).</li></ul><p>&nbsp;</p></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description As part of the Development &amp; Engineering section within the Information Technology Department (ITD), this role supports project and programme delivery, agile ways of working, and the continuous improvement of delivery processes. The initiative involves the development and management of in-house applications and data platforms, supporting projects from inception to acceptance while maintaining appropriate governance standards, delivery discipline, and industry good practices. Additionally, the project focuses on leveraging AI, automation, and AI agents to enhance operational delivery practices—such as automated reporting, action tracking, RAID management, backlog insights, and workflow automation across project and agile delivery practices Responsibilities This person will be responsible for day-to-day project management and people management in the offshore delivery center. He/She will also be responsible for the delivery, scope, timeline, project status reporting, and other PM activities. Hands-on knowledge of software development methodologies is essential. Agile knowledge is a plus. Responsibilities will also include: Scrum ceremonies Negotiation with the customer and on-site Project Managers (delivery management, requirements management, requirements analysis etc.); Introduction and enhancements of software development methodologies within the project; Coordination and collaboration with other projects and QA engineers; Change management process facilitation; Team motivation, team building, assessment of project team members. Skills Must have A minimum of 4 years’ relevant experience in project management, scrum master, agile delivery, delivery coordination, or programme support roles Maintain a working understanding of tech delivery environments to engage effectively with engineering, data, architecture, security, and business teams. Experience with data and engineering concepts (cloud platforms, data platforms, DevOps, APIs, data pipelines, and SDLC). Utilize delivery and collaboration tools like Azure DevOps, Microsoft 365, Teams, SharePoint, and Power BI. Understand the purpose and delivery implications of technologies like Python, PySpark, SQL, Azure, AWS, and Databricks. Translate technical context into clear delivery plans, risks, dependencies, decisions, and stakeholder communications. Practical experience supporting technology, software, data, platform, or digital transformation initiatives Strong delivery discipline across scope, timeline, risk, dependency, quality, and governance management Excellent written and verbal communication skills, with the ability to translate complex delivery or technical topics into clear business language Excellent interpersonal, facilitation, negotiation, and stakeholder engagement skills Experience using delivery and collaboration tools such as Azure DevOps, Microsoft 365, Teams, SharePoint, Power BI, or similar platforms Working knowledge of technology delivery environments and concepts (cloud platforms, data platforms, DevOps, APIs, data pipelines, and SDLC) without requiring deep hands-on engineering ownership Ability to provide conflict resolution and support constructive decision-making across cross-functional teams Having strong planning, organizational, and follow-through skills with high attention to detail Nice to have Bachelor’s or master’s degree in Computer Science, Engineering, Information Technology, Business, or a related discipline Exposure to agile frameworks such as Scrum, Kanban, SAFe, or Product Owner practices Practical awareness, curiosity, or exposure to AI, generative AI, Copilot, workflow automation, or AI-assisted delivery practices Relevant professional training or certifications in project management, agile delivery, AI, or automation Understanding of responsible AI, data protection, confidentiality, security, and governance considerations when applying AI-enabled solutions Experience working alongside data engineering tools and cloud ecosystems (e.g., Python, PySpark, SQL, Azure, AWS, Databricks) Other Languages English: C1 Advanced Seniority Senior</p><br> </div>

Role: ML Researcher (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Researcher to work on a contract basis. The role involves advancing machine learning models and algorithms to solve complex problems in a high-impact environment. Responsibilities include designing, implementing, and evaluating novel AI solutions for real-world applications.<br>Key Responsibilities:• Design and develop machine learning models and algorithms to address specific business challenges.• Conduct research to improve existing models and explore new approaches in AI and machine learning.• Collaborate with cross-functional teams to integrate machine learning solutions into production systems.• Analyze large datasets to identify patterns and trends that inform model improvements.• Document research findings and present results to stakeholders in a clear and actionable manner.<br>Required Skills & Qualifications:• Proficiency in Python and machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in applied mathematics, statistics, or a related quantitative field.• Experience with natural language processing, computer vision, or other specialized AI domains.• Ability to design and conduct experiments to evaluate model performance and accuracy.• Familiarity with data preprocessing, feature engineering, and model optimization techniques.• Experience with cloud platforms and distributed computing for scalable ML model training.<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. Candidates will have the chance to work on impactful projects with direct influence on the company’s strategic direction.<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: Security Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $50 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking an AI Jailbreak & Prompt-Injection Security Expert to work on a contract basis. The role focuses on identifying vulnerabilities in AI models, testing defenses against prompt-injection attacks, and developing robust security frameworks. Responsibilities include designing and executing jailbreak scenarios to assess model resilience.<br>Key Responsibilities:• Conduct deep-dive analysis of AI model vulnerabilities to prompt-injection and jailbreak techniques.• Develop and refine testing methodologies to evaluate the robustness of AI security mechanisms.• Document findings and recommend security improvements for AI systems.• Collaborate with cross-functional teams to integrate security best practices into AI deployment pipelines.• Stay current with emerging threats in AI security, including new jailbreak and injection vectors.<br>Required Skills & Qualifications:• Experience with AI security, prompt-injection, and jailbreak testing frameworks.• Proficiency in Python and scripting for automated security testing.• Knowledge of adversarial machine learning and ethical hacking techniques.• Familiarity with AI model architectures and inference pipelines.• Ability to analyze security logs and interpret model behavior under attack.• Experience with threat modeling and risk assessment in AI systems.<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 secure AI systems. The position involves direct impact on safeguarding AI deployments against evolving attack methods.<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"> <br><br>This is a hands-on role where you will design, build, and maintain scalable cloud infrastructure on AWS, taking full ownership of CI/CD pipelines and infrastructure automation.<br><br> <br><br>Client Details<br><br>Our client is a forward-thinking organisation focused on building innovative, technology-driven solutions within a sophisticated investment environment. They operate at the intersection of digital product development, engineering excellence, and AI-led innovation, driving impactful outcomes across global markets.<br><br>Description<br>Build and optimise AWS infrastructure (EKS, Lambda, EC2, S3, RDS) for scale and reliabilityOwn CI/CD pipelines using GitLab, implementing automated testing and deploymentsEmbed DevSecOps practices including security scanning, IAM controls, and secrets managementDevelop Infrastructure as Code using Terraform and CloudFormation for repeatable environmentsEnhance observability through monitoring, alerting, and logging frameworks<br><br><br>Profile<br>5+ years' experience in DevOps, SRE, or platform engineering on AWSStrong programming skills in Python and/or Go, with solid Linux expertiseProven experience with Docker, Kubernetes (EKS), GitLab CI/CD, and IaC toolsDeep understanding of cloud security, networking, and performance optimisationExperience with observability tools (Prometheus, Grafana, CloudWatch) and distributed systems<br><br><br>Job Offer<br>Opportunity to work on cutting-edge AI and data-driven platformsLong-term growth within a high-performing, innovation-focused team<br><br> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills">AWS<br> </div>

<p>Please DO NOT APPLY if you do not meet the necessary qualifications or does not have a working experience with cryptoexchange, brokerage or trading!! </p><br><p>The Dealing Specialist is responsible for the day-to-day trading and dealing operations of a cryptocurrency exchange and OTC platform. This role executes client orders, monitors transaction flows for both crypto and fiat assets, oversees liquidity provider activities, performs reconciliations, and prepares operational reports. Working closely with the Head of Dealing, the specialist helps ensure efficient trading operations, operational integrity, regulatory compliance, and continuous process improvement. </p><br><ul><li><p>Monitor order books and ensure the integrity of active markets.</p></li><li><p>Oversee order flow and execution across trading venues and liquidity providers.</p></li><li><p>Ensure adequate liquidity across trading pairs and escalate liquidity concerns when necessary.</p></li><li><p>Execute and price client orders through approved liquidity providers.</p></li><li><p>Conduct daily trade validation and verify the accuracy of executed transactions.</p></li><li><p>Perform reconciliations between trading activity, client balances, and internal systems.</p></li><li><p>Support market-making activities and monitor liquidity during periods of increased market volatility.</p></li><li><p>Identify and escalate suspicious trading patterns or unusual transactions to the Compliance and Risk teams.</p></li><li><p>Prepare daily dealing reports, trading logs, and operational performance summaries.</p></li><li><p>Assist in resolving operational incidents to minimize trading disruptions.</p></li><li><p>Support the launch of new digital assets by evaluating operational readiness, liquidity, scalability, and profitability.</p></li><li><p>Contribute to process improvements that enhance operational efficiency and trading performance.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor's degree in Finance, Economics, Business, Statistics, Computer Science, Engineering, or another STEM-related discipline.</p></li><li><p><strong>1–3 years of experience within a cryptocurrency exchange, brokerage, trading desk, or similar financial markets environment.</strong></p></li><li><p>Strong understanding of order books, market structure, pricing dynamics, and trade execution.</p></li><li><p>Knowledge of market making concepts and liquidity management.</p></li><li><p>Experience working with trading dashboards, reporting tools, and trade reconciliation processes.</p></li><li><p>High attention to detail with strong analytical and problem-solving skills.</p></li><li><p>Excellent communication and teamwork abilities.</p></li><li><p>Commitment to compliance, operational excellence, and regulatory standards.</p></li><li><p>Willingness to work rotational shifts in a 24/7 trading environment and be based on-site.</p><br></li></ul><p>Preferred</p><ul><li><p><strong>3–5 years of experience in a cryptocurrency exchange or brokerage trading environment.</strong></p></li><li><p>Master's degree in a relevant discipline.</p></li><li><p>CFA Level I (or higher) or equivalent professional certification.</p></li><li><p>Strong understanding of pricing strategies, risk management, high-frequency or algorithmic trading, asset pricing, and stochastic processes.</p></li><li><p>Programming experience with Python, C++, R, or other relevant languages.</p></li><li><p><strong>Experience working with REST APIs, FIX Protocol, Order Management Systems (OMS), and trading platform integrations.</strong></p></li></ul><p>Reports directly to the Head of Dealing.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description We are seeking a Palantir Foundry &amp; AIP Engineer with hands-on experience across the full Foundry ecosystem and Palantir’s Artificial Intelligence Platform (AIP). This role goes beyond data engineering: you will design, build, and operationalize AI-powered workflows, agents, and applications that drive tangible business outcomes. The ideal candidate is a self-starter, able to translate complex business needs into scalable technical solutions, and confident working directly with stakeholders to maximize the value of Foundry and AIP. Responsibilities · Data &amp; Workflow Engineering: Design, develop, and maintain scalable pipelines, transformations, and applications within Palantir Foundry. · AIP &amp; AI Enablement: Support the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents. Ground agents and logic flows using RAG (retrieval‐augmented generation) by connecting to relevant data sources, embedding/vector search, ontology content. Use Ontology-Augmented Generation (OAG) when needed: operational decision making where logic, data, actions and relationships are embedded in the Ontology. Collaborate with senior engineers on agent design, instructions, and evaluation using AIP’s native features. · End-to-End Delivery: Work with stakeholders to capture requirements, design solutions, and deliver working applications. · User Engagement: Provide training and support for business teams adopting Foundry and AIP. · Governance &amp; Trust: Ensure solutions meet standards for data quality, governance, and responsible use of AI. · Continuous Improvement: Identify opportunities to expand AIP adoption and improve workflow automation. Skills Must have Minimum 10 Years of experience in IT/Data. Minimum 5 years of experience as a Data Platform Engineer/Data Engineer. · 2+ years of professional experience with the Palantir Foundry ecosystem (data integration, ontology, pipelines, applications). · Strong technical skills in Python, PySpark, SQL, and data modelling. · Practical experience using or supporting AIP features such as RAG workflows, copilots, or agent-based applications. · Ability to work independently and engage directly with non-technical business users. · Strong problem-solving mindset and ownership of delivery. Nice to have · Familiarity with AIP Agent Studio concepts (agents, instructions, tools, testing). · Exposure to AIP Evals and evaluation/test-driven approaches. · Experience with integration patterns (APIs, MCP, cloud services). · Consulting or applied AI/ML background. · Experience in Abu Dhabi or the broader MENA region. Other Languages English: C1 Advanced Seniority Senior</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are making every property transaction transparent, fast, and fair for everyone it touches.<br> ✨ Property is one of the largest, slowest, most opaque markets in the world.<br> A typical UAE transaction involves a buyer, a seller, two agents, a brokerage, a developer, a bank, a regulator, and weeks of friction across them.<br> Most of that friction exists because the underlying product is bad - fragmented data, manual handoffs, and incentives misaligned with the people the product is supposed to serve.<br> We're rebuilding that infrastructure.<br> Engage is the operating system for how property gets bought, sold, and rented in the UAE.<br> We're owned by Cencorp Group and embedded inside some of the country's largest brokerages - betterhomes, CRC, Linda's - which means our product touches a meaningful share of every property transaction in Dubai.<br> This isn't a typical internship where you shadow and observe.<br> Your first assignment is a real data-integrity project: we're evaluating a new property data API against our current source, and need to know whether it can be trusted before we rely on it.<br> You'll pull data from both APIs across every area of Dubai, build a methodology to match records between them, and tell us where the two sources agree, where they don't, and why.<br> When you're rebuilding infrastructure that brokers and agents depend on, the quality of the data underneath it is the difference between a product that earns trust and one that loses it.<br> That's what this role contributes to.<br> You'll be working on a live, real-stakes project from day one - not a sandbox exercise - with a clear deliverable the business will actually use to make a decision.<br> What we're offering ‍ Active coaching from the product and engineering teams, who are deeply invested in your growth, skill development, and resume building.<br> Direct exposure to how a product team evaluates and trusts data sources.<br> Real ownership over a reconciliation report and recommendation the business will act on.<br> A portfolio of real analytical work - methodology, code, and a report - you can take with you.<br> Cross-functional experience working with Product, Engineering, and Customer Success.<br> The basics Location : Dubai, onsite Duration : 3 months Start date : 1 September 2026 Compensation : Unpaid - see what we're offering above What you'll do Connect to two property data APIs (current source and candidate source) and pull structured data across all Dubai areas.<br> Design and build a matching methodology to reconcile property records between the two sources.<br> Quantify match rates and categorize discrepancies, area by area.<br> Produce a reconciliation report and a clear recommendation on whether the new source is ready to rely on.<br> Once this is done, move on to broader market analysis and reporting work.<br> What you'll have Comfortable calling REST APIs (Python requests, or Postman) and handling pagination, auth, and rate limits.<br> Working Python skills , especially pandas.<br> Strong Excel skills for reporting.<br> Comfortable designing your own approach when the path isn't fully specified.<br> Attention to detail and genuine interest in the Dubai property market.<br> An AI-first mindset - you're comfortable using AI tools to speed up analysis, scripting, and reporting.<br> SQL, experience with fuzzy matching or entity resolution, prior exposure to data pipelines or ETL work, and familiarity with UAE property portals (Property Finder, Bayut, Dubizzle) are all a plus.<br> If you read this and saw yourself in it - or just found it genuinely interesting - hit the Apply button.<br> </span> </div>

AI Red Teamer???? Location: UAE (Onsite)<br>We are seeking a skilled AI Red Teamer to assess and improve the security, reliability, and ethical integrity of AI systems. The role involves identifying vulnerabilities, simulating adversarial attacks, and evaluating AI models to ensure they meet security and performance standards.<br>Key Responsibilities Conduct security assessments of AI models, algorithms, and systems to identify vulnerabilities, biases, and risks. Design and execute adversarial attacks to test AI model robustness and resilience. Develop adversarial examples and simulate malicious inputs to identify weaknesses in AI systems. Assess risks related to AI misuse, data privacy, ethical concerns, and model security. Collaborate with AI developers, data scientists, and engineers to implement security improvements. Evaluate AI systems for compliance with relevant regulations, ethical guidelines, and security standards. Identify and address bias, fairness, and inclusivity issues in AI models. Prepare detailed reports documenting vulnerabilities, testing methodologies, findings, and recommendations. Research emerging AI security threats and adversarial testing techniques.<br>Qualifications & Skills Bachelor’s or Master’s degree in computer science, Artificial Intelligence, Cybersecurity, or a related field. Proven experience in AI security, adversarial testing, or ethical AI development. Strong understanding of machine learning algorithms, neural networks, and AI frameworks. Knowledge of cybersecurity principles, penetration testing, and vulnerability assessment. Proficiency in Python; knowledge of R or Java is an advantage. Familiarity with adversarial testing tools such as Foolbox, Clever Hans, and Adversarial Robustness Toolbox (ART). Strong analytical, problem-solving, and communication skills.<br>Preferred Skills Hands-on experience with Large Language Models (LLMs) and Generative AI. Knowledge of AI security frameworks, data privacy regulations, and ethical AI practices. Familiarity with AI red teaming, prompt injection, jailbreak testing, and model safety evaluations. Relevant certifications such as CEH, CISSP, or AI-related certifications.

Role: Mathematics Expert (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $40/hour<br>Role Overview:We are hiring for one of our clients, seeking a Mathematics Expert to work on a contract basis. The role involves applying advanced mathematical principles to solve complex problems and optimize algorithms. Candidates will develop models and analyze data to support decision-making in a technical domain.<br>Key Responsibilities:• Develop and refine mathematical models for algorithmic solutions in data analysis.• Apply statistical and computational techniques to interpret and solve business problems.• Collaborate with data scientists and engineers to integrate mathematical frameworks into production systems.• Validate model accuracy and performance through rigorous testing and validation.• Document methodologies, assumptions, and results for stakeholder review.<br>Required Skills & Qualifications:• Expertise in applied mathematics, including linear algebra, calculus, and probability theory.• Proficiency in programming languages such as Python or R for mathematical modeling.• Experience with statistical analysis, machine learning, or optimization techniques.• Ability to translate abstract mathematical concepts into practical solutions.• Strong analytical thinking and problem-solving skills.<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 scalable solutions. The position supports cross-functional teams in building data-driven products.<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: Backend Software Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $50 - $70/hour<br>Role Overview:We are hiring for one of our clients, seeking a Software Engineer to work on a contract basis. The role involves developing and maintaining scalable software solutions while collaborating with cross-functional teams to deliver high-quality products. Responsibilities include writing clean, efficient code and optimizing system performance.<br>Key Responsibilities:• Design, develop, and maintain software applications using modern programming languages and frameworks.• Write clean, modular, and reusable code following best practices and coding standards.• Work with product managers, designers, and other engineers to define project requirements and deliver solutions.• Troubleshoot, debug, and resolve software defects and performance issues.• Participate in code reviews and contribute to architectural decisions.<br>Required Skills & Qualifications:• Proficiency in programming languages such as Python, Java, or Java Script.• Experience with software development methodologies like Agile or Scrum.• Strong problem-solving skills and ability to write efficient algorithms.• Familiarity with version control systems like Git.• Understanding of data structures and database systems.<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 innovative software solutions. The position requires remote collaboration with a diverse team of engineers and stakeholders.<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"> Job description <p><b>Discover the Opportunity</b></p><br><p>We’re partnering with a major government entity in Abu Dhabi that is building next- generation AI capabilities to power large-scale, real-world systems across the public sector.<br>This role sits within a central AI function responsible for developing and deploying advanced AI applications across multiple entities. The team is focused on leveraging cutting-edge technologies including large </p><br><p>language models, retrieval systems, and agent-based workflows to deliver scalable, production-grade solutions.</p><br><p><br>This is a unique opportunity to work at the forefront of applied AI, contributing to the development of AI-driven systems that operate at national scale.</p><br><p><b><br>Discover the Role</b></p><br><p>As an Applied AI Engineer, you will design and deliver end-to-end AI-powered applications, working at the intersection of AI engineering, software development, and product delivery.</p><br><p>You will take ownership of building robust, production-ready systems leveraging modern AI capabilities, translating complex requirements into scalable solutions. This role requires strong hands-on engineering expertise combined with a deep understanding of how to operationalise AI in real-world environments.</p><br><p>​</p><br><p><b>Discover the Responsibilities</b></p><br><ul><li><p>Design and deploy production-grade AI applications powered by large language models, including assistants, copilots, and automation tools.</p><br></li><li><p>Build advanced agent-based systems capable of multi-step reasoning, planning, and tool integration.</p><br></li><li><p>Develop end-to-end retrieval-augmented generation (RAG) systems, including data ingestion pipelines, vector databases, and retrieval optimisation.</p><br></li><li><p>Expose AI capabilities through scalable APIs that integrate seamlessly with existing systems and data platforms.</p><br></li><li><p>Define and implement evaluation frameworks to measure model performance, detect issues, and continuously improve system quality.</p><br></li><li><p>Translate complex and ambiguous requirements into structured engineering solutions with clear success metrics.</p><br></li><li><p>Build reusable components, frameworks, and infrastructure to enable scalable AI adoption across multiple entities.</p><br></li><li><p>Collaborate with cross-functional teams to deliver reliable, high-performance AI systems.</p><br></li></ul><p><b><br>Discover the Requirements</b></p><br><ul><li><p>7+ years of experience in applied AI, machine learning engineering, or software engineering roles.</p><br></li><li><p>Strong programming skills in Python, with solid software engineering fundamentals including system design, testing, and performance optimisation.</p><br></li><li><p>Proven experience building and deploying AI/ML systems in production environments.</p><br></li><li><p>Hands-on experience working with large language models and deploying LLM- powered applications.</p><br></li><li><p>Strong understanding of the challenges of deploying AI systems in production, including latency, reliability, and model behaviour.</p><br></li><li><p>Experience designing scalable, reliable, and high-performance systems.</p><br></li></ul><p><b>Discover the Desired.</b></p><br><ul><li><p>Experience building RAG systems end-to-end, including retrieval pipelines and vector search.</p><br></li><li><p>Familiarity with agent-based frameworks such as LangChain, LangGraph, AutoGen, or similar.</p><br></li><li><p>Experience designing evaluation frameworks for AI systems, including performance monitoring and regression detection.</p><br></li><li><p>Exposure to conversational AI systems, including speech or real-time interaction pipelines.</p><br></li><li><p>Experience working with modern AI inference infrastructure and deployment environments.</p><br></li></ul><br> </div>