Machine Learning Engineer

Client of Discovered MENA; Abu Dhabi; On-site; AED 400,000 - 640,000; Full time

Job summary

Client of Discovered MENA is seeking a Machine Learning Engineer in Abu Dhabi to design, build and deploy scalable ML systems across the organisation. You will work on the full ML lifecycle—from data handling and model training to validation, deployment and optimisation in production.

You will apply traditional ML, deep learning, NLP and generative AI approaches, building end-to-end pipelines and automating training and deployment workflows while collaborating with Data Science, Engineering and

Qualifications

• 3–7 years of experience building scalable, production-grade AI or ML systems.

Responsibilities

• Design, build and deploy scalable ML systems for real business problems across the organisation.
• Cover full ML lifecycle from data handling to model training, validation, deployment and optimisation in production.
• Work with traditional ML, neural networks, generative AI and agentic systems where appropriate.
• Build end-to-end ML pipelines and automate training and deployment workflows.
• Collaborate with Data Science, Engineering and Product teams to integrate models into applications.
• Ensure models work beyond prototypes, fine-tuning LLMs/SLMs and building model-serving APIs for real-time and batch inference.

Skills

AI systems

Deep learning

NLP

Generative AI

Computer vision

Model serving

API development

Docker

Kubernetes

CI/CD

MLOps

AWS

Azure

Education

Bachelor's degree in CS/Engineering

Master's degree or PhD in CS/AI

Tools

FastAPI

Flask

Docker

Kubernetes

MLflow

Kubeflow

AWS

Azure

Job description

Job description

This is a chance to join a multinational organisation building an AI Centre of Excellence in Abu Dhabi with a clear focus on moving AI from experimentation into scaled deployment across the group

The business is investing heavily in AI and advanced analytics taking promising pilots and turning them into practical production-ready solutions across core functions

They re now looking for a Machine Learning Engineer to help build the systems models and pipelines that make that possible

The role

You ll design build and deploy scalable machine learning systems that solve real business problems and support better decision-making across the organisation

The work will span the full ML lifecycle from working with large and complex datasets through to model training validation deployment and optimisation in production

You ll work across traditional machine learning neural networks generative AI and agentic systems depending on the use case

You ll also build end-to-end ML pipelines automate training and deployment workflows and work closely with Data Science Engineering and Product teams to integrate models into wider applications

A big part of the role will be making sure models work beyond the prototype stage whether that means fine-tuning SLMs and LLMs building model-serving APIs or improving performance across real-time and batch inference environments

• 3 7 years' experience building scalable, production-grade AI or machine learning systems.
• Strong experience across supervised and unsupervised learning, deep learning, NLP, computer vision or generative AI.
• Strong ML systems architecture knowledge.
• Hands-on experience fine-tuning and deploying LLMs or SLMs.
• Experience with model serving and API development using tools such as FastAPI or Flask.
• Good understanding of Docker, Kubernetes, CI/CD and MLOps tooling such as MLflow or Kubeflow.
• Experience deploying machine learning workloads on AWS or Azure.

Bachelor's degree in Computer Science, Engineering or a related field.

A Master's degree or PhD in Computer Science, AI, Machine Learning or a related field would be a plus.