ML Ops Engineer

As an MLOps Engineer, you will build and own the operational infrastructure that brings AI and ML models into production for our new intelligence platform. You will establish the platforms, pipelines, and processes for deploying, monitoring, and governing models reliably at scale, directly enabling business value through an AI-driven product.

• Build automated pipelines for model training, validation, and deployment
• Implement monitoring, alerting, and automated recovery for ML workloads
• Establish controls for model lineage, reproducibility, and audit trails
• Partner with Data Science, Data Engineering, and Product teams
• Production-quality Python and deep AWS expertise
• Experience with MLOps tooling, CI/CD, and IaC