Senior MLOps Engineer
Tasks
- Build ML observability data and feature parity checks
- Build and maintain training pipelines
- Design operate and improve ML platform
- Develop internal tools and APIs for model experimentation and promotion
- Ensure safe reliable model inference
- Implement CI/CD pipelines
- Manage model lifecycle and promotions
- Monitor online and offline ML performance
Perks/Benefits
Skills/Tech-stack
API | Airflow | Apache Spark | CI/CD | Dagster | Data Validation | Databricks | Databricks Jobs | Delta Lake | Distributed Training | Docker | FastAPI | Flask | GPU | GitHub Actions | Kubernetes | MLflow | ONNX | PyTorch | Pydantic | Python | Unity Catalog
Education
N/A
Roles
Engineer | MLOps Engineer | Senior MLOps | Senior MLOps Engineer
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