Senior ML Engineer - ML Ops Framework
职位介绍
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.
查看完整职位
工作职责、任职要求、技能与福利 — 免费创建账号即可查看。
或
已有账户？
登录相似职位
其他可能适合您的职位。