MLOps Engineer – AI Innovation Team

About the role

We are looking for an experienced MLOps Engineer to join the AI innovation group of a leading financial services organisation in Abu Dhabi. You will design and build an enterprise‑grade machine‑learning platform that enables data‑science teams to experiment faster, deploy models reliably, and scale AI solutions across the bank.

Key responsibilities

• Design and develop a production‑grade ML platform supporting real‑time APIs (FastAPI, gRPC) and large‑scale batch inference.
• Automate end‑to‑end ML pipelines for continuous integration, delivery, and training (CI/CD/CT).
• Implement monitoring, logging, and drift detection to track model performance and runtime metrics.
• Manage model registries and metadata using MLflow, Kubeflow or equivalent tools.
• Orchestrate and scale containerised applications with Docker and Kubernetes (EKS, AKS, etc.).
• Collaborate with security and data‑governance teams to enforce encryption, network isolation, IAM policies and compliance standards.

Required profile

• 3–7 years of hands‑on experience building and operating high‑availability ML pipelines and platform infrastructure.
• Strong programming skills in Python, Go or Java and deep Linux scripting expertise.
• Bachelor’s degree in Computer Science, Engineering or related field (Master’s preferred).

Required skills

• Python, Go, Java
• Linux environment
• MLflow, Kubeflow, Argo Workflows, Feast, SageMaker, Azure ML
• Docker, Kubernetes
• Infrastructure‑as‑Code: Terraform, CloudFormation
• Cloud security concepts: VPC isolation, private endpoints, RBAC, encryption

What we offer

• Competitive salary package.
• 4.5‑day work week plus 24 flexi‑work days, with the ability to work from anywhere.
• Full platinum health coverage for you and your sponsored dependents.
• Opportunity to join one of the region’s largest AI innovation teams and work with cutting‑edge technologies in enterprise banking.