Senior ML Engineer - ML Ops Framework
Is this job for you?
Build my CV Build your CV and see how well you match this role — and every other one.
The role
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.
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.
See the full job post
Responsibilities, requirements, skills and benefits — create your free account.
Already have an account? Log in
Similar openings
Other roles that could suit you.