ai developer

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

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>
 <li>
 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

Klanik

<div>
 
 
 🚀
 
 Hiring: Machine Learning Engineer
 
 
 
 
 
 
 📍
 
 Location:
 
 Abu Dhabi, UAE
 
 
 
 
 
 We are looking for a talented
 
 Machine Learning Engineer
 
 to design, build, and deploy scalable machine learning models and AI solutions. This role combines model development, data engineering, and production deployment to deliver innovative, high-impact AI applications.
 
 
 
 
 
 🔹
 
 Key Responsibilities
 
 
 
 
 
 
 &bull; Model deployment using Docker, Kubernetes
 
 
 &bull; Model optimization (TensorRT, OpenVINO, ONNX, triton, sparsing, pruning)
 
 
 &bull; CI/CD pipelines for ML (Git, Jenkins, GitHub Actions)
 
 
 &bull; Integration with backend &amp; edge devices
 
 
 &bull; Performance tuning (latency, throughput, FPS)
 
 
 &bull; Monitoring model drift &amp; production performance
 
 
 &bull; Strong Python &amp; system design skills
 
 
 &bull; Experience with inference pipelines for video streams
 
 
 
 
 
 🔹
 
 Qualifications:
 
 
 
 
 
 
 Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, AI, or a related field.
 
 
 Additional qualifications, such as certifications or publications in the field of machine learning, are a plus
 
 
 
 
 
 🔹
 
 
 Years of Experience
 
 
 
 
 
 
 
 5 to 9 years of experience
 
 
 
 
 
 🔹
 
 
 Languages
 
 :
 
 
 
 
 
 
 &middot; English
 
 
 . Excellent communication, verbal and written skills.
 
 
 
 
 
 Are you looking for a great opportunity to be part of an amazing challenge with great development possibilities? 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, the Middle East, and the Americas. Our Team is dedicated to offering 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 be 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 to 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 with the pride in a job well done.
 
 
 Our community motto is that people give the best of them 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 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&rsquo;s, learning from each other&rsquo;s 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>

Machine Learning Engineer

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors&mdash;with a deep-rooted expertise in Financial Services and Banking&mdash;to bridge the gap between complex data and actionable business strategy.
At DeepLight, we don't believe in &quot;off-the-shelf&quot; fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.
As a Senior Full Stack AI Engineer, you will be the ultimate bridge between advanced data science and enterprise-scale software architecture. This role is designed for a rare breed of engineer: someone who possesses the deep mathematical and modeling background required to design advanced AI and Generative AI systems, paired with the full-stack infrastructure capabilities needed to deploy, containerize, scale, and monitor them across hybrid, cloud, and on-premise environments.
Operating within complex client landscapes&mdash;such as premier banking and financial institutions (e.g., ADCB)&mdash;you will own the full engineering lifecycle of AI applications. You will design secure, highly performant systems, orchestrate massive data pipelines, optimize cloud spend, and establish robust MLOps practices that guarantee production stability.
Key ResponsibilitiesEnd-to-End AI Architecture &amp; Full-Stack Design<ul><li>
Architect end-to-end, highly secure AI and Generative AI systems capable of running seamlessly across both secure on-premise data centers and public cloud infrastructures (Azure/AWS).</li><li>
Design, build, and optimize high-throughput, secure APIs to serve complex AI models and agentic workflows to consuming client applications.</li><li>
Seamlessly integrate proprietary cloud foundation models (GPT, Claude, Gemini) and fine-tuned open-source models into unified software ecosystems.</li></ul>
Deep Learning &amp; Advanced AI Engineering<ul><li>
Leverage a deep theoretical understanding of Transformers, PyTorch, and TensorFlow to implement, evaluate, and optimize deep learning models across NLP and Computer Vision domains.</li><li>
Design scalable knowledge retrieval frameworks using embedding models and enterprise-grade Vector Databases (e.g., Azure DocumentDB, Elasticsearch, Faiss).</li><li>
Build and evaluate robust systematic prompting frameworks and compile complex models using ONNX for optimized, low-latency production inference.</li></ul>
Infrastructure, MLOps &amp; FinOps<ul><li>
Own the containerization and scaling of AI services utilizing Docker and Kubernetes clusters across development and production environments.</li><li>
Build and automate robust MLOps continuous integration and deployment pipelines to track model lineage, versions, evaluations, and production drift.</li><li>
Implement strict FinOps practices to track, monitor, and radically optimize token usage, cloud compute consumption, and inferencing costs.</li><li>
Architect and optimize large-scale data processing systems using modern Big Data tools to feed raw information into AI training and embedding workflows.</li></ul>
As an AI consultancy, our greatest asset is the expertise of our people.
 
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
 
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
 
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.
 
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in. 
Requirements 
We need you to have:<ul><li>
Extensive experience designing, launching, and managing containerized AI/ML or data-intensive applications in highly regulated enterprise environments.</li><li>
A proven track record applying deep learning models across both Natural Language Processing (NLP) and Computer Vision (CV) fields.</li><li>
Practical experience implementing production-grade model monitoring frameworks and optimizing complex cloud/token expenditure.</li><li>
Deep operational command of Docker and enterprise Kubernetes infrastructure for running distributed AI applications.</li><li>
Expert-level knowledge of Azure (or alternative major clouds) alongside a strong architectural grasp of on-premise deployment constraints, data security, and network topologies.</li><li>
Strong proficiency in Big Data toolsets and modern API gateway designs.</li><li>
A rigorous, foundational grasp of transformer architectures, embedding mechanics, and deep learning implementations via PyTorch/TensorFlow.</li><li>
High proficiency across SQL, NoSQL, and Vector Database engines.</li><li>
&quot;Perfect-tier&quot; software engineering skills in Python and advanced data processing techniques.</li></ul>
It would also be great if you have:<ul><li>
An MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a highly relevant quantitative discipline.</li><li>
Deep domain experience within banking, understanding strict data residency laws, financial compliance protocols, and legacy core banking interactions.</li><li>
Practical experience with agentic frameworks (e.g., LangChain, LlamaIndex, AutoGen) and modern cloud MLOps suites (e.g., Azure AI Studio, Kubeflow).</li></ul> 
Benefits 
The benefits you'll enjoy as part of this role include: 
<ul><li>
Competitive salary
</li><li>Comprehensive personal health insurance
</li><li>Visa Sponsorship for the successful individual</li><li>
Professional development and certification support</li><li>
Subscription reimbursement relating to your role</li><li>
Opportunity to work on cutting-edge AI projects</li><li>
Monthly Employee Incentive program</li><li>
Career advancement opportunities in a rapidly growing AI company</li></ul> 
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients. 
 
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

Senior Full Stack Engineer

YO IT Consulting

<div>
 
 Job Title:
 
 Software Engineering
 
 
 
 Job Type:
 
 Contractor (10-12 hours per week)
 
 
 
 Location:
 
 Remote
 
 
 
 Job Summary
 
 
 
 We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for developers who can reason through unfamiliar codebases, explain engineering decisions clearly, and solve practical backend, full-stack, systems, or infrastructure-related problems.
 
 
 No prior AI experience is required. What matters most is strong software engineering judgment, clean technical communication, and the ability to evaluate code, architecture, tradeoffs, and implementation quality.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Work on challenging software engineering tasks across backend, full-stack, infrastructure, and systems-related projects.
 </li>
 <li>
 Review, debug, improve, and explain code across different technical environments.
 </li>
 <li>
 Design or evaluate practical solutions involving APIs, databases, services, integrations, testing, and deployment workflows.
 </li>
 <li>
 Identify tradeoffs around scalability, maintainability, performance, reliability, security, and developer experience.
 </li>
 <li>
 Communicate technical reasoning clearly in writing, including why a solution works and what alternatives were considered.
 </li>
 <li>
 Collaborate with the customer&rsquo;s team on technical reviews, implementation decisions, and problem-solving exercises.
 </li>
 <li>
 Adapt quickly to new codebases, frameworks, and technical requirements.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 5+ years of hands-on software engineering experience.
 </li>
 <li>
 Strong experience in at least one backend or full-stack engineering environment, such as Python, JavaScript/TypeScript, Node.js, Java, C#, .NET, C++, Go, Ruby, PHP, or similar.
 </li>
 <li>
 Experience building, maintaining, or reviewing production-level applications, APIs, services, databases, or integrations.
 </li>
 <li>
 Strong understanding of software engineering fundamentals, including debugging, testing, code quality, architecture, and technical tradeoffs.
 </li>
 <li>
 Ability to explain complex engineering decisions clearly and objectively.
 </li>
 <li>
 Comfortable reading and reasoning through unfamiliar code or technical requirements
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with cloud environments such as AWS, GCP, or Azure.
 </li>
 <li>
 Experience with CI/CD pipelines, DevOps workflows, containers, monitoring, or production operations.
 </li>
 <li>
 Experience with frontend frameworks such as React, Next.js, Angular, Vue, or React Native.
 </li>
 <li>
 Open-source contributions, public GitHub work, technical writing, or strong examples of past engineering work.
 </li>
 <li>
 Experience mentoring engineers, reviewing code, or making architecture decisions.
 </li>
 </ul>
</div>

JavaScript/TypeScript Developer - Remote

Dizzaract FZ LLC

01. ABOUT THE COMPANYDizzaract is a product-driven company operating at the intersection of gaming, digital platforms, and AI. We build and scale multiple products &mdash; including Farcana 2.0, Gamed, and FAR Labs &mdash; each exploring a different space, but united by a shared approach: moving fast, staying curious, and focusing on things that people actually use. We operate as a collaborative, non-hierarchical team where ideas are valued based on their impact, not their origin, and where AI is embedded across everything we build &mdash; from infrastructure to product decisions.02. ABOUT THE ROLEFAR Labs is building FAR AI, a distributed inference network that turns idle GPU capacity into usable compute for developers, businesses, and AI products. Around this infrastructure, we build a wider ecosystem of products, payment tools, developer platforms, and internal systems that help prove and grow the network through real usage.We&rsquo;re looking for an AI Inference Infrastructure Engineer to build the core engine powering this system &mdash; from low-level runtime to distributed orchestration. This is a deeply technical role focused on performance, efficiency, and control over hardware.You will be working close to the metal, designing systems that operate at the limits of modern compute.03. WHO YOU ARE<ul><li>Systems Engineer: You have deep experience in systems programming and care about performance at every layer.</li><li>Performance Optimiser: You understand how to extract maximum efficiency from hardware &mdash; not just make things work.</li><li>Infrastructure Builder: You&rsquo;ve built or contributed to distributed systems where latency and throughput matter.</li><li>Low-Level Thinker: You&rsquo;re comfortable working close to hardware &mdash; memory, kernels, execution pipelines.</li><li>Pragmatic Engineer: You avoid unnecessary abstractions and focus on what actually improves performance.</li></ul>04. RESPONSIBILITIES<ul><li>Core Engine Development: Design and implement low-level runtime systems (Rust/C) to manage model execution, memory allocation, and request batching across distributed compute.</li><li>Hardware-Aware Optimisation: Develop and optimise tensor operations and custom kernels (CUDA, Triton) to maximise hardware utilisation.</li><li>Inference Performance: Implement advanced inference techniques such as continuous batching, speculative decoding, and paged attention &mdash; tailored to our architecture.</li><li>Decentralised Orchestration: Design routing and load balancing systems across geographically distributed nodes to ensure availability and efficiency.</li><li>Autonomous Infrastructure: Build fully automated deployment and recovery systems &mdash; ensuring zero manual intervention and self-healing network behaviour.</li></ul>05. REQUIREMENTS<ul><li>Strong experience in systems programming (Go, Rust, or C/C++).</li><li>Proven experience working with performance-critical systems.</li><li>Deep understanding of GPU programming (CUDA, ROCm) and hardware-level optimisation.</li><li>Strong knowledge of deep learning architectures (Transformers, Mamba) and tensor execution.</li><li>Experience building distributed systems with high concurrency and low latency.</li><li>Ability to work close to the hardware and optimise execution pipelines.</li><li>Strong problem-solving skills and attention to performance bottlenecks.</li></ul>06. WHAT WE OFFER<ul><li>Real ownership and direct impact on a global AI infrastructure product</li><li>Fast execution, low bureaucracy, and a highly collaborative, idea-driven team</li><li>Exposure to cutting-edge AI, distributed systems, and hardware-level optimisation</li><li>Competitive salary with performance-based incentives</li><li>24 days annual leave, plus public holidays</li><li>Health insurance</li><li>Modern office in Yas Creative Hub</li><li>Continuous learning through real-world problem solving &mdash; not just theory</li><li>The opportunity to shape what you&rsquo;re working on and influence product direction</li><li>A diverse, open-minded team where ideas are genuinely heard</li></ul>Work Location: In person

AI Inference Infrastructure Engineer

Masdar

<div>Company Description 
Established in 2006, Masdar (Abu Dhabi Future Energy Company) is a global clean energy leader, transforming how the world produces and consumes energy through bold innovation and commercial excellence.
Masdar is a clean energy investor, developer and operator, advancing renewable energy projects across key markets and technologies, with a global project portfolio capacity to date of over 65 gigawatts (GW).
Jointly owned by TAQA, ADNOC and Mubadala, Masdar is driving the scale-up of renewables worldwide, targeting a portfolio capacity of 100GW by 2030. 
Job Description 
To support the development of analytics, AI, and data products while building foundational capabilities, as part of Masdar&rsquo;s national-talent development within the AI Products &amp; Analytics Technology CoE.
Key Accountabilities :<ul><li>
Perform data preparation, cleaning, and analysis.</li><li>
Support the development of analytical models and data pipelines across key use cases</li><li>
Assist in implementing machine learning, statistical, and optimization models under guidance from senior team members</li><li>
Perform data cleaning, preprocessing, and exploratory data analysis (EDA)</li><li>
Translate analytical outputs into clear insights, visualizations, and reports</li><li>
Support the delivery of data-driven recommendations to inform operational and strategic decisions</li><li>
Contribute to dashboards and tools that enhance visibility into performance and forecasts</li><li>
Develop dashboards and reports on the CoE&rsquo;s BI platforms.</li><li>
Support AI model development, testing, and documentation.</li><li>
Work closely with the Senior Decision Scientist to Build and refine models, Validate results and ensure quality outputs, and Understand business context and decision frameworks</li><li>
Participate in code reviews, model reviews, and knowledge-sharing sessions</li><li>
Ensure high standards of data integrity, quality checks, and documentation</li><li>
Work with structured and unstructured datasets from multiple sources</li><li>
Support the maintenance of reproducible and well-documented codebases</li><li>
Build foundational skills in data science, AI, and platform tools through structured development.</li><li>
Apply best practices in coding, modeling, and analytics inspired by industry-leading organizations</li><li>
Engage with stakeholders across operations, digital, and strategy teams to understand data needs</li><li>
Support the translation of business questions into analytical tasks</li><li>
Communicate findings in a clear and structured manner appropriate for different audiences</li></ul> 

Qualifications 
Preferred Qualifications:<ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or a related field; UAE National (National Talent programme). Strong foundation in statistics, linear algebra, and data analysis.
</li></ul>Preferred Experience:<ul><li>
1&ndash;3 years of experience in data science, analytics, or related fields (internships included)</li><li>
Job-Exposure to energy, utilities, or financial analytics is advantageous but not mandatory</li><li>
Demonstrated experience working on data-driven projects (academic or professional)</li></ul>
Technical Skills:<ul><li>
Proficiency in Python, SQL, or similar programming languages</li><li>
Familiarity with:</li><li>
Data analysis libraries (e.g., Pandas, NumPy)</li><li>
Visualization tools (e.g., Power BI, Tableau, Matplotlib)</li><li>
Basic machine learning concepts and frameworks</li><li>
Understanding of data pipelines and data wrangling techniques</li><li>
Exposure to cloud platforms or big-data tools is a plus</li></ul>
Behavioral Competencies:<ul><li>
Strong analytical thinking and problem-solving skills</li><li>
Curiosity and eagerness to learn and grow in a fast-paced environment</li><li>
Ability to take direction, absorb feedback, and continuously improve</li><li>
Good communication skills with the ability to explain findings clearly</li><li>
Collaborative mindset and strong attention to detail</li></ul> 
Role is to be based in Abu Dhabi, UAE. 
Additional Information<div></div> 
As part of the application process, we will collect, store and process personal information about you.
Masdar will use your personal information in accordance with our Candidate Privacy Notice, which provides details on the purposes for which your data is processed.</div>

Associate Data / Decision Scientist (UAEN)

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