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 the design, development, and maintenance of scalable ML frameworks and tooling to enable ML experimentation, training, validation, and deployment. Build and enhance cloud tooling (Terraform, AWS Managed Services, EKS, Ray) and data ops (Parquet processing with PyArrow, Daft, Pandas; vector databases like LanceDB; MCAP/ROS). Drive the ML development pipeline using Python, Ray, PyTorch, Lightning, and Gymnasium, with a focus on reproducibility and performance. Implement and evolve logging, aggregation, experiment tracking, and a robust model registry & lineage system, along with visualization and dashboarding (Tableau, Rerun). Collaborate with cross-functional stakeholders to gather requirements, promote best practices, and ensure the platform scales; advocate for Ray usage and stay current with open-source ML tooling. Ideal: familiarity with model optimizations/compression for edge deployment. Strong English communication is required for collaboration with international teams and documentation.
See the full job post
Responsibilities, requirements, skills and benefits — create your free account.
or
Already have an account?
Log inSimilar openings
Other roles that could suit you.
? Senior C++ Programmer - Machine Learning - Content Creation Technology Group ? Senior C++ Programmer - Machine Learning Content Creation Technology Group ? Senior Editor Developer, AI Authoring ? Data Scientist, Audience Analytics ? Staff ML Engineer - Road & Lane Detection ? Staff, ML Engineer - Learned Behaviors / RL Planning