MLOps Engineering Lead

As an MLOps Engineering Lead at OCBC, you will be pivotal in scaling our AI capabilities, bridging the gap between experimental models and robust production‑ready services. You will lead the design, build, and maintenance of end‑to‑end ML pipelines, champion automation in deployments, and ensure models run securely, efficiently, and with high availability.

Responsibilities

• Lead the design, build, and maintenance of end‑to‑end MLOps and LLMOps pipelines.
• Implement CI/CD workflows using Bitbucket, Jenkins, and other automation tools for automated testing, containerization, and release of AI models.
• Containerize ML workloads with Docker and orchestrate them on Kubernetes (EKS) or other container platforms.
• Architect and implement solutions leveraging AWS services (SageMaker, ECR, EKS/ECS, Lambda, S3, CloudWatch, CloudFormation, Terraform, etc.) to host, scale, and manage model training and inference pipe...