Machine Learning Engineer – Abu Dhabi

About the role

We are partnering with a leading financial services organisation in Abu Dhabi that is expanding its AI and Machine Learning capabilities. The role focuses on building and deploying production‑grade AI systems that address complex business challenges.

Key responsibilities

• Design, train and deploy scalable Machine Learning and AI models for diverse use cases.
• Develop end‑to‑end ML pipelines covering data ingestion, transformation, training, validation, deployment and ongoing optimisation.
• Fine‑tune large language models (LLMs) and contribute to generative AI solutions.
• Automate model training, testing and deployment using CI/CD and modern MLOps tools.
• Build real‑time and batch inference serving capabilities with FastAPI or Flask.
• Collaborate with software, data and AI teams to integrate models into production applications.

Required profile

• 3–7 years of experience delivering production‑grade, scalable AI/ML systems.
• Strong hands‑on expertise in deep learning, NLP, computer vision or generative AI.
• Proven ability to take models from development through to production deployment.
• Experience with LLM fine‑tuning and modern AI architectures.
• Solid understanding of Docker, Kubernetes, CI/CD and MLOps tooling (MLflow, Kubeflow).
• Bachelor’s degree in Computer Science, Engineering or related field; Master’s or PhD is a plus.

Required skills

• Generative AI
• Agentic AI architectures
• LLMs and model fine‑tuning
• MLflow
• Kubeflow
• CI/CD
• Machine Learning
• Deep Learning
• NLP
• MLOps
• Docker
• Flask
• FastAPI
• Azure
• Kubernetes
• Computer Vision
• AWS