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Sundus

<div>
 
 Job Title
 
 : AI Engineer (ML, LLM, RAG &amp; Agentic AI)
 
 
 
 Job Code
 
 : JPC 6310
 
 
 
 Experience:
 
 2+ years of experience in AI/ML development.
 
 
 
 Education:
 
 Bachelor s degree in Computer Science, AI, Data Science, or related field.
 
 
 
 Language Skills
 
 : English
 
 
 
 Role Purpose
 
 
 
 The AI Engineer is responsible for developing, testing, and deploying AI/ML and
 
 
 Generative AI solutions, including LLM-based applications, RAG pipelines, and
 
 
 Agentic workflows. This role also includes the ability to deploy and run LLMs on
 
 
 local/on-premise servers, supporting secure and efficient AI solution delivery in
 
 
 enterprise environments.
 
 
 
 Required Skills &amp; Qualifications
 
 
 
 Bachelor s degree in Computer Science, AI, Data Science, or related field.
 
 
 2+ years of experience in AI/ML development.
 
 
 Strong programming skills in Python.
 
 
 
 Hands-on Experience With
 
 
 
 <ul>
 <li>
 Machine learning frameworks (Scikit-learn, PyTorch, or TensorFlow)
 </li>
 <li>
 Basic NLP concepts
 
 
 </li>
 </ul>
 Understanding of ML model lifecycle (training, evaluation, deployment).
 
 
 Familiarity with REST APIs and integration concepts.
 
 
 Experience with Git/version control.
</div>

AI Engineer

Salient Group

<div>
 
 
 AI/ML Engineer (Mid, Senior, Lead)
 
 
 
 
 Location
 
 | Abu Dhabi/Dubai (Hybrid)
 
 
 
 Comp
 
 | $200k-$250k + Equity + Package
 
 
 
 Focus
 
 | Real-World AI Deployment Across Enterprise &amp; Operational Environments, AI Systems, LLM Applications &amp; Agentic Workflows
 
 
 
 
 
 We&rsquo;re working with a frontier AI company that builds and deploys AI systems for the world&rsquo;s most important institutions, automating billion-dollar processes, unlocking national productivity, and modernising the infrastructure of society itself. This is not research for research&rsquo;s sake. This is applied AI, deployed in the real world.
 
 
 
 
 
 They are backed by some of the world&rsquo;s most respected founders and AI pioneers, and built a 70+ person team from tier-1 companies. Now, they&rsquo;re expanding globally and looking for engineers who want to own the deployment of AI that changes how the world works.
 
 
 
 
 
 
 The Role
 
 
 
 As an AI/ML Engineer, you&rsquo;ll turn state-of-the-art models into production-grade systems that power national-scale change. You&rsquo;ll design, deploy, and optimise AI applications that automate some of the hardest real-world processes from energy and healthcare to government operations.
 
 
 
 
 
 You&rsquo;ll be embedded in small, elite teams that own problems end-to-end: architecture, data, model design, deployment, and iteration. No silos. No bureaucracy. Just impact.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Build and deploy applied AI systems: from LLMs and agentic reasoning models to scalable data pipelines and production infrastructure.
 </li>
 <li>
 Solve world-scale problems: automate complex workflows, improve public outcomes, and optimise critical national systems.
 </li>
 <li>
 Collaborate with leaders and clients: work directly with government officials, enterprise executives, and industry veterans to translate ideas into deployed solutions.
 </li>
 <li>
 Operate like a founder: own delivery, make decisions fast, and help shape the next generation of applied AI tooling.
 </li>
 <li>
 Stay ahead of the curve: explore the latest GenAI, LLM, and reasoning research to push models from theory to practice.
 </li>
 </ul>
 
 
 
 
 
 You&rsquo;ll Thrive Here If You&hellip;
 
 
 <ul>
 <li>
 Have hands-on experience building GenAI or LLM-based applications (agents, RAG, reasoning models).
 </li>
 <li>
 Know your way around Python, PyTorch, JAX, or TensorFlow, with strong software engineering fundamentals.
 </li>
 <li>
 Can work across data pipelines, APIs, and production deployments with speed and precision.
 </li>
 <li>
 Enjoy autonomy, creative problem-solving, and owning solutions end-to-end.
 </li>
 <li>
 Want your work to matter to see it deployed across industries, governments, and communities.
 </li>
 </ul>
 
 
 
 
 
 Why Join
 
 
 <ul>
 <li>
 Build at frontier scale: ship real systems used by governments, hospitals, and energy leaders worldwide.
 </li>
 <li>
 Elite peers: collaborate with engineers and researchers from tier-1 places.
 </li>
 <li>
 Move fast, own outcomes: you&rsquo;ll ship code in weeks, not quarters.
 </li>
 <li>
 Meaningful rewards: competitive comp, equity, and ownership tied to real impact.
 </li>
 <li>
 Support to thrive: daily lunches, full benefits, 401(k), and unlimited PTO.
 </li>
 </ul>
 
 
 
 
 If you want to build AI that doesn&rsquo;t just predict but powers economies, saves lives, and redefines what&rsquo;s possible , this is where you do it.
 
 
 
 
 
 Join the team building AI that actually ships. Get in touch with danny@salientgroup.com.au for more information.
 
</div>

Artificial Intelligence Engineer

Brain Co.

<div>
 Our Mission
 
 
 Rebuild how the world works, to make institutions work better for the people they serve.
 
 
 
 About Brain Co.
 
 
 
 Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model.
 
 
 Why Now
 
 
 Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services.
 
 
 Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact.
 
 
 You'll work alongside exceptional peers on some of the hardest problems in applied AI. It&rsquo;s the kind of work you'll still be proud of in ten years from now.
 
 
 
 Machine Learning Engineer, Applied AI
 
 
 
 
 About The Role
 
 
 
 So much of the work society depends on is still slower and harder than it should be. Permits take months. Claims sit unresolved. And AI hasn't changed that &mdash; because the bottleneck isn't the models. It's the institutional context AI needs to do the work: rules, history, relationships, and judgment scattered across people, documents, and legacy systems.
 
 
 BrainCo exists to fix that. We build agent-native operating systems for the institutions society depends on, and our products are the first of their kind in the world &mdash; we were the first, anywhere, to fully automate construction permitting, and we're now doing the same across insurance and other industries. There is no playbook here, because no one has built this before.
 
 
 As a Machine Learning Engineer on Applied AI, your work begins where the demo ends: getting a model to look impressive is the easy part; making it a production decision system an institution stakes its process on is the job. The problems come in every shape &mdash; custom vision model pipelines that check blueprints against building codes at 95%+ accuracy, agents that untangle policy stacks to reveal coverage gaps, systems that predict from clinical records whether a patient is on their care path &mdash; and you'll own them end-to-end, from ambiguous customer problem to the eval that catches a whole class of errors.
 
 
 This is frontier ML applied where it's hardest and matters most. The problems are underspecified, the documents are brutal, the accuracy bar is institutional-grade &mdash; and the feedback loops are real, because our systems move real workflows forward every day.
 
 
 
 Who We're Looking For
 
 
 
 You understand how machine learning actually works &mdash; not just the tooling, but the philosophy underneath: what a loss function really optimizes, how generalization breaks under distribution shift, why evaluation is where systems quietly go wrong. And you live at the bleeding edge of modern AI, with hard-won instincts for squeezing the most out of LLMs and agentic systems &mdash; prompting, fine-tuning, tool use, and reasoning. That combination is the job: you know when a fine-tuned segmentation model beats a VLM, when a rule engine beats both, and how to compose all three into a system more accurate than any single model. You treat frontier models as components to be measured, pushed, and engineered &mdash; never as magic.
 
 
 Most of all, you're energized by building things that have never existed, and comfortable when the problem, the data, and the definition of success all have to be invented at once.
 
 
 
 The Problems You'll Work On
 
 
 
 
 Composite AI systems and credit assignment.
 
 Our most demanding systems chain vision transformers, segmentation models, VLM reasoning, and rule engines. When the pipeline is wrong, which component failed? One of the most interesting open problems in applied ML.
 
 
 
 Document understanding beyond the frontier.
 
 Blueprints, site plans, policy stacks, contracts, clinical records &mdash; dense, multimodal documents that break off-the-shelf models. You'll build models that actually read them.
 
 
 
 Agents that learn from real work.
 
 Our deployments generate verified, ground-truth outcomes on every decision &mdash; reward signals most labs can only simulate. You'll help design the data, evals, and training loops to build and fine-tune agents on them.
 
 
 
 Evaluation as a product discipline.
 
 When a regulator has to trust your system, evals are the product. You'll build eval suites and failure-mode taxonomies rigorous enough to earn institutional sign-off.
 
 
 
 Institutional Intelligence that compounds.
 
 Every verified correction improves the system twice: the corrected fact percolates to every application, and the system that builds the intelligence learns to build it better. You'll work on both loops.
 
 
 
 In This Role, You Will
 
 
 
 
 Turn ambiguity into shipped systems
 
 &mdash; from no problem statement, no labeled data, and no agreed definition of success, to well-posed ML problems and production deployments.
 
 
 
 Own AI systems end-to-end.
 
 There is no handoff: the person who trains the model owns its behavior in production.
 
 
 
 Work at the research frontier with production stakes
 
 , applying LLMs, RL fine-tuning, and agentic systems where the output is a decision an institution acts on.
 
 
 
 Work directly with the institutions we serve
 
 &mdash; permit reviewers, underwriters, compliance officers &mdash; to understand how decisions actually get made and ensure your systems change how the work gets done.
 
 
 
 Engineer for production reality
 
 , navigating accuracy, latency, cost, and reliability in environments far messier than any benchmark.
 
 
 
 Raise the bar across the company
 
 through design reviews, our internal paper club, and the shared playbook for AI systems institutions can trust.
</div>

Machine Learning Engineer, Applied AI - Deployed

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 Ops 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>
 Master&rsquo;s or Ph.D. in AI, Data Science, Computer Science, Statistics, or a related field.
 </li>
 <li>
 5+ 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 parameter-efficient fine-tuning methods (LoRA, QLoRA, etc.) techniques.
 </li>
 <li>
 Strong proficiency in programming languages like Python. Preference for candidates with a competitive coding background (e.g., ACM/ICPC, NOI/IOI, Top Coder, Kaggle).
 </li>
 <li>
 Experience in building and deploying LLM-powered applications using FastAPI/ Flask and Streamlit for front-end interfaces, solid understanding of REST principles, HTTP Methods, websockets and API lifecycle management;
 </li>
 <li>
 Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and libraries like Langchain, Langgraph, LlamaIndex.
 </li>
 <li>
 Experience with SQL, NoSQL (PostgreSQL, MySQL, MongoDB, Redis) and vector databases (Pinecone, Weaviate, pgvector) for structured data storage and semantic search.
 </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>
 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>

MLOps Engineer

Hudson Talent Solutions

<div>
 
 
 Contractual Roles | Abu Dhabi
 
 
 
 We are supporting an aviation client in
 
 Abu Dhabi
 
 with
 
 3 new opportunities within Recruitment.
 
 
 
 
 
 
 
 Job Type- 6-months Contract
 
 .
 
 
 
 Availability- Immediately
 
 
 
 Please apply for the most suitable role.
 
 
 
 
 
 1.
 
 Recruitment Coordinator
 
 
 <ul>
 <li>
 Recruitment administration and coordination
 </li>
 <li>
 Assessment center and interview logistics
 </li>
 <li>
 Travel bookings and event scheduling
 </li>
 <li>
 Candidates from events, travel desk, tour and travel, hospitality or hotel backgrounds preferred
 </li>
 <li>
 Recruitment experience is not essential
 </li>
 </ul>
 
 
 
 
 2.
 
 Recruitment Support / Analyst
 
 
 <ul>
 <li>
 Recruitment reporting and data support
 </li>
 <li>
 
 Power BI, Excel &amp; MS Lists
 
 </li>
 <li>
 Virtual assessment and interview support
 </li>
 <li>
 Strong analytical and coordination skills
 </li>
 <li>
 Not a full recruiter role
 </li>
 </ul>
 
 
 
 
 3
 
 . Recruiter
 
 
 <ul>
 <li>
 End-to-end recruitment.
 </li>
 <li>
 Ability to own entire recruitment process.
 </li>
 <li>
 Aviation/ Engineering/Aerospace experience preferred.
 </li>
 </ul>
 
 
 
 
 
 Key Details
 
 
 
 
 Location:
 
 Abu Dhabi, United Arab Emirates
 
 
 
 Contract:
 
 6 months
 
 
 
 Availability:
 
 Immediate
 
 
 
 
 
 More information about the role will be shared once candidates are shortlisted.
 
 
 
 Interested candidates should apply with their CV.
 
 
</div>

Talent Acquisition - Multiple Roles

Etihad

<div>
 
 Job Description
 
 
 
 
 In this role, you will be responsible for managing the direction and delivery of recruitment activities, partnering closely with the talent acquisition team, hiring managers and business stakeholders to attract, assess and secure top UAE national talent for Etihad. You will design and execute recruitment plans to ensure our ambitious growth targets are achieved efficiently and within agreed timelines. The role focuses on delivering successful recruitment outcomes across programmes and direct hire roles, building strong national talent pipelines, ensuring a strong candidate experience, and supporting Etihad's talent acquisition strategy.
 
 
 
 
 
 Accountabilities
 
 
 
 
 <ul>
 <li>
 
 Recruitment activities: manage recruitment related activities including sourcing, screening, shortlisting, interviewing and assessing candidates using relevant assessment tools.
 
 
 
 </li>
 <li>
 
 Stakeholder management: partner with hiring managers and business stakeholders to understand talent needs, define candidate profiles and act as a trusted advisor throughout the hiring process.
 
 
 
 </li>
 <li>
 
 External partnerships: develop and manage relationships with academic institutions, government partners, and talent networks to strengthen sourcing channels and enhance Etihad's recruitment reach.
 
 
 
 </li>
 <li>
 
 Event management: plan and coordinate recruitment events including career fairs, university engagements and talent attraction initiatives to strengthen talent pipelines and promote Etihad as an employer of choice.
 
 
 
 </li>
 <li>
 
 Assessment days: lead the design and execution of assessment and selection processes for UAE national programmes, ensuring they are efficient and aligned with hiring requirements.
 
 
 
 </li>
 <li>
 
 Employer branding: assist with employer branding initiatives specific to UAE national recruitment, in collaboration with the Employer Branding team.
 
 
 
 </li>
 <li>
 
 Metrics &amp; Data: monitor recruitment metrics, analyse hiring data to evaluate the effectiveness of recruitment efforts, and prepare reports and insights to support recruitment planning and continuous improvement.
 
 
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 3 to 6 years of recruitment experience, preferably within a large organization with a strong focus on UAE national recruitment.
 </li>
 <li>
 Bachelors degree from accredited institution. A professional certification such as CIPD, SHRM, PHR is a plus.
 </li>
 <li>
 Demonstrated expertise in sourcing, assessment, and selection methods tailored to meet operational requirements and regulatory standards.
 </li>
 <li>
 Proficiency in recruitment technologies and tools, with the ability to utilise data and analytics to inform decision-making and improve talent acquisition outcomes.
 </li>
 <li>
 Fluency in both Arabic and English, with excellent verbal and written communication skills.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 <ul>
 <li>
 On-site position based in Abu Dhabi, United Arab Emirates at the Etihad Airways Center (EAC).
 </li>
 <li>
 Application deadline is
 
 
 24 August 2026
 
 
 </li>
 </ul>
 
 Etihad Airways is more than the UAE&rsquo;s national airline - we&rsquo;re shaping the future of global aviation. From our hub in Abu Dhabi, we connect people across continents and cultures, while driving our &ldquo;Journey 2030&rdquo; ambition to double our fleet, expand our network and grow our people for a new era of excellence. Join us and become part of a vision where the world is your workplace and extraordinary experiences take flight.
 
 
 
 
 To learn more visit www.etihad.com
 
 
 
 
 
 Recruitment Fraud Alert
 
 
 
 Beware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.
 
 
 
</div>

Senior Recruitment Specialist - UAE Nationals Only

Etihad Airways

<div><div><div><div><h2 class="jobSectionHeader">Job Description</h2></div><div>
In this role, you will be responsible for managing the direction and delivery of recruitment activities, partnering closely with the talent acquisition team, hiring managers and business stakeholders to attract, assess and secure top UAE national talent for Etihad. You will design and execute recruitment plans to ensure our ambitious growth targets are achieved efficiently and within agreed timelines. The role focuses on delivering successful recruitment outcomes across programmes and direct hire roles, building strong national talent pipelines, ensuring a strong candidate experience, and supporting Etihad's talent acquisition strategy.
Accountabilities<ul><li>
Recruitment activities: manage recruitment related activities including sourcing, screening, shortlisting, interviewing and assessing candidates using relevant assessment tools.</li><li>
Stakeholder management: partner with hiring managers and business stakeholders to understand talent needs, define candidate profiles and act as a trusted advisor throughout the hiring process.</li><li>
External partnerships: develop and manage relationships with academic institutions, government partners, and talent networks to strengthen sourcing channels and enhance Etihad's recruitment reach.</li><li>
Event management: plan and coordinate recruitment events including career fairs, university engagements and talent attraction initiatives to strengthen talent pipelines and promote Etihad as an employer of choice.</li><li>
Assessment days: lead the design and execution of assessment and selection processes for UAE national programmes, ensuring they are efficient and aligned with hiring requirements.</li><li>
Employer branding: assist with employer branding initiatives specific to UAE national recruitment, in collaboration with the Employer Branding team.</li><li>
Metrics &amp; Data: monitor recruitment metrics, analyse hiring data to evaluate the effectiveness of recruitment efforts, and prepare reports and insights to support recruitment planning and continuous improvement.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Qualifications</h2></div><div><ul><li>
3 to 6 years of recruitment experience, preferably within a large organization with a strong focus on UAE national recruitment.</li><li>
Bachelors degree from accredited institution. A professional certification such as CIPD, SHRM, PHR is a plus.</li><li>
Demonstrated expertise in sourcing, assessment, and selection methods tailored to meet operational requirements and regulatory standards.</li><li>
Proficiency in recruitment technologies and tools, with the ability to utilise data and analytics to inform decision-making and improve talent acquisition outcomes.</li><li>
Fluency in both Arabic and English, with excellent verbal and written communication skills.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Additional Information</h2></div><div><ul><li>
On-site position based in Abu Dhabi, United Arab Emirates at the Etihad Airways Center (EAC).</li><li>
Application deadline is 24 August 2026</li></ul><div></div>
Etihad Airways is more than the UAE&rsquo;s national airline - we&rsquo;re shaping the future of global aviation. From our hub in Abu Dhabi, we connect people across continents and cultures, while driving our &ldquo;Journey 2030&rdquo; ambition to double our fleet, expand our network and grow our people for a new era of excellence. Join us and become part of a vision where the world is your workplace and extraordinary experiences take flight.
To learn more visit www.etihad.com
Recruitment Fraud Alert 
Beware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.</div></div></div></div>

Explore 57+ Data center engineer in Abu Dhabi this August. Find roles across top companies and apply now to boost your career.

57 data center engineer jobs In Abu Dhabi

AI Engineer

Artificial Intelligence Engineer

Machine Learning Engineer, Applied AI - Deployed

MLOps Engineer

Talent Acquisition - Multiple Roles

Senior Recruitment Specialist - UAE Nationals Only

Senior Recruitment Specialist - UAE Nationals Only