ai researcher

New York University Abu Dhabi

<div>
 The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics.
 
 
 
 Skills
 
 
 
 We are seeking a Postdoctoral Researcher to join the team and make significant contributions to the field. The researcher is expected to have (i) strong machine learning skills to improve model performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. Methodologies of interest include:
 
 
 <ul>
 <li>
 multi-modal learning,
 </li>
 <li>
 foundation models, including large language models,
 </li>
 <li>
 agentic AI,
 </li>
 <li>
 multi-agent AI systems,
 </li>
 <li>
 transfer learning,
 </li>
 <li>
 self-supervised learning,
 </li>
 <li>
 and federated learning.
 
 
 </li>
 </ul>
 The Postdoctoral Researcher will be primarily based at NYU Abu Dhabi. The researcher will report directly to Dr. Farah Shamout and work in close collaboration with other researchers, PhD students, and undergraduate research assistants. The researcher will engage with our regular collaborators across the NYU campuses and local medical institutions in the UAE.
 
 
 
 Key Responsibilities
 
 
 
 
 Research
 
 
 
 <ul>
 <li>
 Support the supervisor in developing and implementing the research agenda;
 </li>
 <li>
 Conduct high-quality and innovative research primarily focused on ML methodology development for healthcare;
 </li>
 <li>
 Generate new high-impact ideas based on gaps and limitations of the state-of-the-art (SOTA);
 </li>
 <li>
 Design and implement experiments to compare proposed work with SOTA baselines;
 </li>
 <li>
 Publish research findings in high-impact journals and conferences;
 </li>
 <li>
 Communicate and present research findings at international academic gatherings;
 </li>
 <li>
 Create, maintain, and document high-quality research code for reproducibility;
 </li>
 <li>
 Maintain good practice in managing and accessing sensitive medical datasets;
 </li>
 <li>
 Assist the supervisor in the preparation of grant applications (as appropriate);
 </li>
 <li>
 And collaborate with scientists within the NYU Global Network and in Abu Dhabi.
 
 
 </li>
 </ul>
 
 Training &amp; professional development*
 
 
 
 <ul>
 <li>
 Attend trainings and workshops for career development;
 </li>
 <li>
 Mentor PhD students and undergraduate research assistants (as appropriate);
 </li>
 <li>
 Actively participate in events and committees at NYU Abu Dhabi, such as the Postdoctoral Council Steering Committee;
 </li>
 <li>
 Gain experience in applying for local research grants (subject to eligibility);
 </li>
 <li>
 And transition to independence to pursue a career of choosing following the appointment.
 </li>
 <li>
 The researcher will create a personalized training and development plan with the supervisor.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Currently has or is in the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree from a recognized institution (no more than 5 years since completing the doctoral degree)
 </li>
 <li>
 Doctoral research in the area of machine learning and artificial intelligence
 </li>
 <li>
 Bachelor&rsquo;s/ Master&rsquo;s degree in computer science, mathematics, computer engineering, or relevant technical field
 </li>
 <li>
 First-author peer-reviewed published papers (or under review)
 </li>
 <li>
 Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice
 </li>
 <li>
 Experience in maintaining high-quality code on Github
 </li>
 <li>
 Experience in running and managing experiments using GPUs
 </li>
 <li>
 Ability to visualize experimental results and learning curves
 </li>
 <li>
 Effective inter-personal and team-building skills
 </li>
 <li>
 Self-motivated with an ability to work independently and in a team to get the work done
 </li>
 <li>
 Excellent communication skills (oral and written communication)
 </li>
 <li>
 Willingness to learn and confront new challenges
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Doctoral research conducted in the area of machine learning for healthcare and related topics
 </li>
 <li>
 Deep knowledge of multi-modal learning, transfer learning, foundation models, and self-supervised learning.
 </li>
 <li>
 Experience in dealing with large medical datasets (e.g., electronic health records data or medical images)
 </li>
 <li>
 Ability to use high performance computing cluster
 
 
 </li>
 </ul>
 For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, research statement (1-page), project proposal summary (1-page), a transcript or degree, and three letters of reference, all in PDF format. If you have any questions, please email Prof. Farah Shamout at farah.shamout@nyu.edu.
 
 
 The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled.
 
 
 
 About NYU Abu Dhabi
 
 
 
 https://nyuad.nyu.edu/en/
 
 
 NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
 
 
 NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
 
 
 Students are drawn from among the world&rsquo;s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.
 
 
 
 Working for NYUAD
 
 
 
 At NYUAD, we recognize that Abu Dhabi is more than where you work; it&rsquo;s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents.
 
 
 NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.
 
 
 Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.
 
 
 
 Join NYU Abu Dhabi, an exceptional place for exceptional people.
 
 
 
 NYUAD values belonging and respect; such principles are fundamental to the university&rsquo;s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University&rsquo;s mission.
 
 
 @WorkAtNYUAD
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
 
 
 
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 
 
 
 Sustainability Statement
 
 
 
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>

Post-Doctoral Associate in the Division of Engineering (Electrical and Computer Engineering) - Dr. Farah Shamout

ai71

<div>
 
 About AI71:
 
 
 
 AI71 is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses and governments to solve complex challenges. AI71 builds secure, enterprise-ready applications powered by cutting-edge technology&mdash;tailored for knowledge workers and sector-specific needs. AI71 bridges the gap between advanced AI and real-world impact. Guided by a strong commitment to research and responsibility, we create transformative solutions that drive progress and empower communities.
 
 
 
 The Role:
 
 
 
 As a Senior Machine Learning Engineer at AI71, you&rsquo;ll be responsible for developing, deploying, and optimizing machine learning models and systems that power our AI solutions. You will collaborate with cross-functional teams to translate business challenges into impactful AI products.
 
 
 
 What You'll Do:
 
 
 
 <ul>
 <li>
 Model Development: Develop, train, and deploy predictive models that enhance the capabilities of our AI solutions.
 </li>
 <li>
 AI Technologies: Work with state-of-the-art AI techniques, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), and apply them to real-world business contexts.
 </li>
 <li>
 Cross-Functional Collaboration: Partner with business stakeholders to understand objectives and translate them into actionable machine learning tasks.
 </li>
 <li>
 Model Optimization: Continuously monitor, evaluate, and improve models based on real-world performance and evolving business needs.
 </li>
 <li>
 Data Pipeline Maintenance: Implement and manage robust data preprocessing pipelines to ensure high-quality, reliable input data for model development.
 
 
 </li>
 </ul>
 
 What You'll Bring:
 
 
 
 <ul>
 <li>
 8+ years of experience in AI, Machine Learning, Reinforcement Learning (RL), Data Science, or a related field.
 </li>
 <li>
 Proven experience with Large Language Models (LLMs) and fine-tuning techniques.
 </li>
 <li>
 Master&rsquo;s or Ph.D. in AI, Data Science, Computer Science, Statistics, or a related field.
 </li>
 <li>
 Strong proficiency in programming languages like Python or R. Preference for candidates with a competitive coding background (e.g., ACM/ICPC, NOI/IOI, Top Coder, Kaggle).
 </li>
 <li>
 Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch), Generative AI technologies, and libraries like Langchain, Weaviate, Langgraph, LlamaIndex.
 </li>
 <li>
 Demonstrated success in applying data science and machine learning to solve real-world, business-critical problems.
 </li>
 <li>
 Excellent communication and collaboration skills with the ability to work across interdisciplinary teams.
 </li>
 <li>
 Family Book for UAE Nationals
 </li>
 <li>
 Strong communication, stakeholder management, and decision-making skills, with a passion for building diverse, inclusive engineering teams.
 
 
 </li>
 </ul>
 
 Why AI71:
 
 
 
 <ul>
 <li>
 
 Mission-Driven Work:
 
 Work on cutting-edge AI applications with a talented and passionate team, solving real-world challenges in critical sectors.
 </li>
 <li>
 
 Unparalleled Opportunity:
 
 This is a chance to innovate and solve real-world challenges using AI at a company with unique access to world-leading models and resources.
 </li>
 <li>
 
 Career Growth:
 
 We offer competitive compensation, benefits, and significant career growth opportunities as a foundational member of the team.
 </li>
 <li>
 
 World-Class Environment:
 
 Enjoy a flexible working environment and the latest tools &amp; technologies needed to do your best work.
 </li>
 </ul>
</div>

Machine Learning Engineer

Klanik

<div>
 
 We are currently looking for a talented
 
 Data Scientist &ndash;Team Lead &amp; Data Scientist
 
 to
 
 
 our team in
 
 Abu Dhabi
 
 !!!
 
 
 
 
 
 
 Requirements:
 
 
 
 
 
 <ul>
 <li>
 Computer vision (object detection, tracking, re-ID, action recognition, segmentation);
 </li>
 <li>
 YOLO, ViT / Transformer models, RF-DETR;
 </li>
 <li>
 VLMs &amp; fine-tuning; &bull; optimisation (TensorRT, ONNX, OpenVINO);
 </li>
 <li>
 Python, PyTorch / TensorFlow;
 </li>
 <li>
 Full MLOps lifecycle; edge-AI constraints (latency, FPS, GPU);
 </li>
 <li>
 Multi-camera tracking;
 </li>
 <li>
 Team leadership, code review &amp; mentoring;
 </li>
 <li>
 Stakeholder communication &amp; solution architecture.
 </li>
 <li>
 CV expertise (detection, tracking, segmentation)
 </li>
 <li>
 Hands-on with YOLO, RF-DETR and similar models
 </li>
 <li>
 Experience in fine-tuning Vision-Language Models (VLMs)
 </li>
 <li>
 Quantization Experience
 </li>
 <li>
 Data preprocessing, augmentation &amp; dataset curation
 </li>
 <li>
 Model training, tuning, evaluation (mAP, precision/recall)
 </li>
 <li>
 Experience with video datasets &amp; annotation feedback loop
 </li>
 <li>
 Experiment tracking (MLflow/W&amp;B)
 </li>
 <li>
 Model optimization basics (TensorRT, ONNX)
 </li>
 <li>
 Understanding of real-world deployment challenges
 </li>
 </ul>
 
 
 
 
 
 Educational
 
 : Computer science or engineering (preferred)
 
 
 
 
 <ul>
 <li>
 3-7 years of hands-on experience in AI/ML applications
 </li>
 <li>
 8-15 years leading and coaching teams, demonstrable track record of projects delivered, bringing value to its recipients
 </li>
 </ul>
 
 
 
 
 You are looking for a great opportunity to be part of an amazing challenge. This job is for you!!!
 
 
 
 
 
 
 
 About KLANIK:
 
 
 
 
 
 
 
 Klanik is an IT consulting company providing solutions to some of the world&rsquo;s largest industrial and services groups for 10 years.
 
 
 We support our clients with the creation and development of their new products and services around 4 main business lines:
 
 
 ➜ Information Technology and Systems (IT &amp; IS)
 
 
 ➜ DevOps and Cloud
 
 
 ➜ Big Data and AI
 
 
 ➜ Cybersecurity
 
 
 
 
 
 Klanik is a community of +500 passionate experts empowering clients in 6 countries throughout Europe, Middle East and the Americas.
 
 
 Our Team is dedicated to offer our global clients project support while guaranteeing a consistent level of service alongside a commitment to excellence and strong core values.
 
 
 We&rsquo;re always looking for smart, talented, driven, down-to-earth, fun-to-work-with people who want to make a positive and meaningful impact!
 
 
 
 
 
 
 
 Being a &ldquo;KLANIK&rdquo;
 
 
 
 
 That means being an out-of-the-box thinker, a precursor who is keen to create, innovate and collaborate in an environment where you can enjoy being yourself and valued for your ideas. It&rsquo;s being part of a community of experts who have a passion for and stay abreast of the latest technologies.
 
 
 Do you feel like a technology pioneer, full of creative ideas, supported by strong know-how and expertise in the latest technologies? We believe you could be a good fit for our culture!
 
 
 
 
 
 
 
 Our culture is our pride
 
 
 
 
 At Klanik, we believe that we are stronger together than we are alone. Trust, ethics, respect, and transparency are deeply fixed in our culture, alongside the pride in a job well done.
 
 
 Our community motto is that people give the best of themselves when they feel listened to, respected, and empowered to develop themselves. Therefore, the better we treat our people, the bigger the success they will achieve. We apply those values on a day-to-day basis among our teams, with our clients, and even with our competitors.
 
 
 Being part of the Klanik community means relying on each other, learning from each other, and growing all together. Our community fosters creativity, innovation, and development within our teams to tackle more and more complex challenges and deliver the best solutions to our clients.
 
</div>

Data Scientist – Team Lead

Salt

<div>
 
 
 🤖 Full Stack Engineer
 
 
 
 
 ⏳ 6-month initial contract - with extensions
 
 
 
 
 📍 Abu Dhabi
 
 
 
 
 
 
 
 Build the Future of AI in Banking
 
 
 
 
 
 
 We're partnering with one of the UAE's leading financial institutions to hire an experienced
 
 Full Stack Developer
 
 to help shape the next generation of AI-powered banking.
 
 
 
 
 
 You'll play a key role in developing the customer and operational interfaces for a cutting-edge
 
 Agentic AI platform
 
 , creating intuitive applications that connect complex AI decision-making with the people who rely on it every day. From Human-in-the-Loop (HITL) review portals and real-time operational dashboards to internal AI management tools, you'll build products that are central to the bank's AI transformation journey.
 
 
 
 
 
 This is an opportunity to work on enterprise-scale AI solutions using modern technologies including
 
 React, TypeScript, Node.js, Azure, Kubernetes, REST APIs, and GenAI integrations
 
 , while collaborating with AI Engineers, Product teams, Business Analysts and Platform Architects.
 
 
 The Role As a
 
 Full Stack Developer
 
 , you'll own the design and development of the human-facing applications that power the bank's AI ecosystem. You'll transform complex AI outputs, including confidence scores, exception handling, agent status and operational metrics&mdash;into intuitive, high-performance user experiences for operations teams, business users and customers.
 
 
 
 
 
 
 What You'll Be Doing:
 
 
 
 Build Modern AI Applications
 
 <ul>
 <li>
 Develop enterprise-grade React &amp; TypeScript applications for AI-powered banking solutions.
 </li>
 <li>
 Design intuitive interfaces that visualise AI decisions, confidence scores and workflow status.
 </li>
 <li>
 Create responsive, accessible applications that deliver an exceptional user experience.
 </li>
 </ul>
 
 Human-in-the-Loop (HITL) Platform
 
 <ul>
 <li>
 Develop reviewer portals enabling operations teams to validate AI-generated decisions.
 </li>
 <li>
 Build document viewers with field overlays and confidence indicators.
 </li>
 <li>
 Create streamlined approval, edit and rejection workflows with productivity-focused features.
 </li>
 </ul>
 
 Operational Dashboards
 
 <ul>
 <li>
 Build real-time dashboards displaying AI performance and operational health.
 </li>
 <li>
 Visualise key metrics including:
 </li>
 <li>
 Straight Through Processing (STP)
 </li>
 <li>
 Human intervention rates
 </li>
 <li>
 AI confidence trends
 </li>
 <li>
 Processing latency
 </li>
 <li>
 Token consumption
 </li>
 <li>
 Document volumes
 </li>
 <li>
 Exception analytics
 </li>
 </ul>
 
 Platform &amp; API Integration
 
 <ul>
 <li>
 Integrate applications with AI services, REST APIs and backend orchestration platforms.
 </li>
 <li>
 Develop secure communication between AI services and banking applications.
 </li>
 <li>
 Consume real-time event streams using WebSockets and Server-Sent Events.
 </li>
 </ul>
 
 Internal AI Tooling
 
 <ul>
 <li>
 Build internal portals supporting AI prompt management, testing, annotation and AI use case configuration.
 </li>
 <li>
 Create developer tooling that accelerates AI delivery across multiple business functions.
 </li>
 </ul>
 
 Performance &amp; Accessibility
 
 <ul>
 <li>
 Deliver highly performant applications optimised for enterprise environments.
 </li>
 <li>
 Ensure solutions meet accessibility standards and gracefully handle AI processing latency.
 </li>
 <li>
 Contribute to a reusable design system and component library aligned with corporate branding.
 </li>
 </ul>
 
 
 
 
 
 What We're Looking For
 
 
 
 Essential Experience
 
 <ul>
 <li>
 5+ years' experience as a Full Stack Developer
 </li>
 <li>
 Commercial experience delivering
 
 AI, Generative AI, Agentic AI or Conversational AI
 
 projects
 </li>
 <li>
 Strong React &amp; TypeScript development experience
 </li>
 <li>
 Node.js or Python (FastAPI / Express)
 </li>
 <li>
 REST API integration and development
 </li>
 <li>
 Experience with WebSockets or Server-Sent Events
 </li>
 <li>
 State management using Redux, Zustand or React Query
 </li>
 <li>
 Data visualisation using Recharts, D3 or similar libraries
 </li>
 <li>
 OAuth2 / OpenID Connect authentication
 </li>
 <li>
 Docker and Kubernetes fundamentals
 </li>
 <li>
 Experience building scalable, enterprise-grade web applications
 </li>
 </ul>
 
 Nice to Have
 
 <ul>
 <li>
 React Native or mobile banking application development
 </li>
 <li>
 Azure Static Web Apps, Azure Front Door or CDN configuration
 </li>
 <li>
 High-resolution document rendering and annotation tools
 </li>
 <li>
 Experience displaying streaming LLM responses
 </li>
 <li>
 Understanding of AI/ML concepts including confidence scoring, model evaluation and operational metrics
 </li>
 <li>
 Experience working within Azure cloud environments
 </li>
 </ul>
 
 
 
 
 
 Why Join?
 
 
 
 This is a rare opportunity to work on one of the region's most ambitious AI transformation programmes.
 
</div>

Full Stack Engineer

<div>
 
 🤖
 
 Site Reliability Engineer (SRE) &ndash; AI Platforms
 
 
 
 
 📍 Abu Dhabi
 
 
 
 
 ⏳ 6-month initial contract - with extensions
 
 
 
 
 
 
 
 Help Build AI Platforms That Never Sleep
 
 
 
 We're partnering with one of the UAE's leading financial institutions to hire
 
 2 Site Reliability Engineers (SREs)
 
 to support the delivery of a next-generation
 
 Agentic AI platform
 
 powering the future of digital banking. This is far more than a traditional SRE role. You'll sit at the intersection of
 
 Site Reliability Engineering, Test Automation, Cloud Infrastructure and AI Quality Assurance
 
 , ensuring enterprise AI services are resilient, secure, scalable and production-ready. You'll build the automated frameworks that validate AI outputs while maintaining the reliability and performance of cloud-native applications running across Azure and AWS.
 
 
 
 
 
 As a
 
 Site Reliability Engineer
 
 , you'll take ownership of
 
 Production Readiness
 
 across enterprise AI applications and cloud infrastructure. You'll develop automated testing frameworks, define reliability standards, implement observability, and ensure AI-powered services consistently meet the performance, security and compliance standards expected within a highly regulated banking environment. Working alongside AI Engineers, DevOps Engineers, Software Developers and Cloud Architects, you'll play a critical role in ensuring the platform performs reliably at scale.
 
 
 
 
 
 
 What You'll Be Doing
 
 
 
 Site Reliability Engineering
 
 <ul>
 <li>
 Design and implement resilient, highly available cloud platforms.
 </li>
 <li>
 Build automated recovery and self-healing capabilities.
 </li>
 <li>
 Conduct chaos engineering exercises to validate system resilience.
 </li>
 <li>
 Perform load and stress testing to ensure applications can support banking-scale workloads.
 </li>
 </ul>
 
 Automated Testing &amp; Quality Engineering
 
 <ul>
 <li>
 Develop automated regression testing frameworks using Python.
 </li>
 <li>
 Integrate automated testing into CI/CD pipelines.
 </li>
 <li>
 Validate both application functionality and infrastructure deployments.
 </li>
 <li>
 Ensure every release meets enterprise quality standards before production.
 </li>
 </ul>
 
 AI Quality &amp; Validation
 
 <ul>
 <li>
 Build automated frameworks to evaluate AI model responses.
 </li>
 <li>
 Validate prompt behaviour and AI-generated outputs.
 </li>
 <li>
 Measure AI performance using established evaluation techniques and custom benchmarks.
 </li>
 <li>
 Help improve the reliability and consistency of enterprise AI services.
 </li>
 </ul>
 
 Observability &amp; Monitoring
 
 <ul>
 <li>
 Define Service Level Indicators (SLIs) and Service Level Objectives (SLOs).
 </li>
 <li>
 Develop dashboards and proactive monitoring solutions.
 </li>
 <li>
 Configure intelligent alerting to identify issues before they impact customers.
 </li>
 <li>
 Analyse platform health, reliability and performance trends.
 </li>
 </ul>
 
 Security &amp; Compliance
 
 <ul>
 <li>
 Automate security testing and compliance validation.
 </li>
 <li>
 Ensure AI services comply with banking security, privacy and data residency requirements.
 </li>
 <li>
 Support continuous platform governance and operational excellence.
 </li>
 </ul>
 
 Cloud Optimisation
 
 <ul>
 <li>
 Identify inefficient infrastructure and unnecessary cloud spend.
 </li>
 <li>
 Improve platform performance while optimising operational costs.
 </li>
 <li>
 Support FinOps initiatives across AI workloads.
 </li>
 </ul>
 
 
 
 
 
 What We're Looking For
 
 
 
 Essential Skills &amp; Experience
 
 <ul>
 <li>
 Strong commercial experience in Site Reliability Engineering, Platform Engineering or Test Automation
 </li>
 <li>
 Expert Python development skills
 </li>
 <li>
 Experience with automation frameworks including
 
 PyTest, Selenium or Robot Framework
 
 </li>
 <li>
 Hands-on experience with Azure and/or AWS cloud platforms
 </li>
 <li>
 Experience building automated CI/CD testing pipelines
 </li>
 <li>
 Strong understanding of cloud networking, scalability and reliability
 </li>
 <li>
 Experience with infrastructure validation and Infrastructure-as-Code concepts
 </li>
 <li>
 Knowledge of monitoring and observability tools including:
 </li>
 <li>
 Azure Monitor
 </li>
 <li>
 AWS CloudWatch
 </li>
 <li>
 Grafana
 </li>
 <li>
 Prometheus
 </li>
 <li>
 Experience with performance testing tools such as
 
 K6 or JMeter
 
 </li>
 </ul>
 
 
 
 
 
 AI Experience
 
 
 
 We're looking for engineers who have worked on
 
 AI, Generative AI, Conversational AI or Agentic AI
 
 projects and understand how to evaluate AI system performance.
 
 
 Experience with any of the following would be highly beneficial:
 
 <ul>
 <li>
 Prompt Engineering
 </li>
 <li>
 LLM evaluation
 </li>
 <li>
 Retrieval-Augmented Generation (RAG)
 </li>
 <li>
 AI benchmarking
 </li>
 <li>
 ROUGE/BLEU scoring
 </li>
 <li>
 AI quality evaluation frameworks such as
 
 DeepEval, Ragas or LangSmith
 
 </li>
 </ul>
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Bash scripting
 </li>
 <li>
 GitHub Actions
 </li>
 <li>
 Terraform (validation and governance)
 </li>
 <li>
 Serverless cloud architectures
 </li>
 <li>
 FinOps or cloud cost optimisation
 </li>
 <li>
 Experience working within highly regulated industries such as banking or financial services
 </li>
 </ul>
 
 
 
 
 
 Why Join?
 
 
 
 This is a chance to work on one of the most ambitious enterprise AI programmes in the Middle East.
 
</div>

Site Reliability Engineer

Atain

<div>
 
 
 Job Title: AI Engineer &ndash; Azure Databricks | Agentic AI | MCP Servers
 
 
 
 
 Experience:
 
 7&ndash;12 Years
 
 
 
 Location:
 
 Abu Dhabi, UAE
 
 
 
 
 
 
 Job Summary
 
 
 
 
 
 
 We are looking for an experienced
 
 AI Engineer
 
 with strong expertise in
 
 Azure Databricks, Agentic AI, and Model Context Protocol (MCP) Servers
 
 to design and develop next-generation AI solutions for enterprise applications. The ideal candidate will have hands-on experience in building LLM-powered applications, multi-agent systems, and scalable AI data pipelines. Experience in the
 
 Revenue Management domain
 
 is a strong advantage.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and deploy AI solutions using
 
 Azure Databricks
 
 , Python, and modern AI frameworks.
 </li>
 <li>
 Build and orchestrate
 
 Agentic AI
 
 applications using multi-agent architectures and autonomous workflows.
 </li>
 <li>
 Develop, integrate, and manage
 
 Model Context Protocol (MCP) Servers
 
 for secure tool and data access.
 </li>
 <li>
 Design and implement
 
 Retrieval-Augmented Generation (RAG)
 
 pipelines for enterprise AI applications.
 </li>
 <li>
 Fine-tune, evaluate, and optimize Large Language Models (LLMs) for business use cases.
 </li>
 <li>
 Build scalable data pipelines using
 
 PySpark
 
 , SQL, and Delta Lake on Azure Databricks.
 </li>
 <li>
 Integrate AI applications with enterprise systems, APIs, and cloud services.
 </li>
 <li>
 Collaborate with data engineers, product teams, and business stakeholders to deliver AI-driven solutions.
 </li>
 <li>
 Monitor AI model performance, ensure governance, security, and responsible AI practices.
 </li>
 <li>
 Stay updated with emerging AI technologies and recommend innovative solutions.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 
 
 
 <ul>
 <li>
 7&ndash;12 years of overall IT experience with strong AI/ML development expertise.
 </li>
 <li>
 Hands-on experience with
 
 Azure Databricks
 
 ,
 
 PySpark
 
 , Python, and SQL.
 </li>
 <li>
 Strong experience building
 
 Agentic AI
 
 solutions and multi-agent orchestration.
 </li>
 <li>
 Experience developing and deploying
 
 MCP Servers
 
 .
 </li>
 <li>
 Expertise in
 
 Large Language Models (LLMs)
 
 , Prompt Engineering, RAG, Vector Databases, and AI orchestration frameworks.
 </li>
 <li>
 Experience with
 
 Azure AI Services
 
 , Azure OpenAI, or similar cloud AI platforms.
 </li>
 <li>
 Knowledge of REST APIs, microservices, and cloud-native architectures.
 </li>
 <li>
 Strong problem-solving skills and ability to work in Agile environments.
 </li>
 </ul>
 
 
 
 
 
 About Atain:
 
 
 
 
 
 
 
 (http://www.atain.com)
 
 
 
 Atain is an enterprise orchestration partner that aligns people, processes, and platforms with AI to redefine work and deliver assured outcomes. It is enabled through the SMART Frameworkdriving superior metrics with AI-redefined work, the TechBud platform, a GenAI foundation built on zero-pilot architecture and ISO 42001 standards, a robust partner ecosystem, and deep domain expertise. Atain's Unified Hub continuously senses, predicts, and re-orchestrates work across people, processes, and platforms to deliver assured outcomes. The centers of skill and scale combine deep expertise with AI to deliver assured outcomes. For more information, visit www.atain.com
 
 
 
 
 
 Atain is ISO 27001:2013, CMMI SVC Level 5 and ISAE-3402 compliant for IT, and COPC Certified v6.0, ISO 27001:2013 and PCI DSS 3.2 certified for BPO processes. The organization follows Six Sigma rigor for process improvements.
 
 
 
 
 
 It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.
 
</div>

Artificial Intelligence Engineer

Discovered MENA

<div>
 
 
 
 Applied AI Engineer &ndash; Abu Dhabi
 
 
 
 
 
 
 Discover the Opportunity
 
 
 
 
 We&rsquo;re partnering with a major enterprise in Abu Dhabi that is building next-generation AI capabilities to power large-scale, real-world systems.
 
 
 
 
 
 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 language models, retrieval systems, and agent-based workflows to deliver scalable, production-grade solutions.
 
 
 
 
 
 This is a unique opportunity to work at the forefront of applied AI, contributing to the development of AI-driven systems that operate at an enterprise level.
 
 
 
 
 
 
 
 Discover the Role
 
 
 
 
 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.
 
 
 
 
 
 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.
 
 
 
 
 
 
 
 Discover the Responsibilities
 
 
 
 <ul>
 <li>
 Design and deploy production-grade AI applications powered by large language models, including assistants, copilots, and automation tools
 </li>
 <li>
 Build advanced agent-based systems capable of multi-step reasoning, planning, and tool integration
 </li>
 <li>
 Develop end-to-end retrieval-augmented generation (RAG) systems, including data ingestion pipelines, vector databases, and retrieval optimisation
 </li>
 <li>
 Expose AI capabilities through scalable APIs that integrate seamlessly with existing systems and data platforms
 </li>
 <li>
 Define and implement evaluation frameworks to measure model performance, detect issues, and continuously improve system quality
 </li>
 <li>
 Translate complex and ambiguous requirements into structured engineering solutions with clear success metrics
 </li>
 <li>
 Build reusable components, frameworks, and infrastructure to enable scalable AI adoption across multiple entities
 </li>
 <li>
 Collaborate with cross-functional teams to deliver reliable, high-performance AI systems
 </li>
 </ul>
 
 
 
 
 
 
 Discover the Requirements
 
 
 
 <ul>
 <li>
 7+ years of experience in
 
 Applied AI
 
 , machine learning engineering, or software engineering roles
 </li>
 <li>
 Strong programming skills in Python, with solid software engineering fundamentals including system design, testing, and performance optimisation
 </li>
 <li>
 Proven experience building and deploying AI/ML systems in production environments
 </li>
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 Hands-on experience working with large language models and deploying LLM-powered applications
 </li>
 <li>
 Strong understanding of the challenges of deploying AI systems in production, including latency, reliability, and model behaviour
 </li>
 <li>
 Experience designing scalable, reliable, and high-performance systems
 </li>
 </ul>
 
 
 
 
 
 
 Preferred experience:
 
 
 
 <ul>
 <li>
 Experience building RAG systems end-to-end, including retrieval pipelines and vector search
 </li>
 <li>
 Familiarity with agent-based frameworks such as LangChain, LangGraph, AutoGen, or similar
 </li>
 <li>
 Experience designing evaluation frameworks for AI systems, including performance monitoring and regression detection
 </li>
 <li>
 Exposure to conversational AI systems, including speech or real-time interaction pipelines
 </li>
 <li>
 Experience working with modern AI inference infrastructure and deployment environments
 </li>
 </ul>
 
 
 
</div>

Applied AI Engineer

Explore 64+ Ai researcher in Abu Dhabi this July. Find roles across top companies and apply now to boost your career.