Senior ML Engineer - ML Ops Framework

Lead design, build, and sustain an ML operations framework enabling scalable model experimentation from ideation to training, validation, and deployment.
Develop cloud tooling (Terraform, AWS services, EKS, Ray) and data ops to ingest, process, and manage large-scale datasets (Parquet, PyArrow, Daft, Pandas).
Implement ML development pipeline using Python, Ray, PyTorch, Lightning, and Gymnasium.
Build logging, experiment tracking, model registry and lineage with dashboards and visualization tools.
Collaborate with ML users to understand needs and deliver features that improve adoption and productivity.
Ensure reliable, scalable ML systems and contribute to best practices for software deployment and maintainability.