ML Ops Engineer

Technical Leadership:

• Owning architectural decisions and technical quality.
• Defining and enforcing standard migration patterns.

MLOps & Platform Engineering:

• Designing and operating batch processing, training, and inference workloads on SageMaker.
• Migrating Databricks notebooks, jobs, and ML workloads into containerised execution on AWS.
• Orchestrating end-to-end ML workflows on AWS.

Future-State Definition:

• Defining best-practice MLOps patterns on SageMaker.
• Contributing to a future-state MLOps framework covering CI/CD, retraining strategies, monitoring, and governance.