Lead Machine Learning Engineer
Tasks
- Automate end to end data science workflows
- Automate model validation
- Break down ambiguous problems
- Build feature pipelines
- Build feature stores
- Build tooling for research to production consistency
- Deploy and serve ML models
- Design and implement ML platform infrastructure
- Drive delivery from design to production
- Enable reproducible model training
- Ensure production observability
- Ensure reliability observability reproducibility and correctness
- Lead ML platform roadmap
- Manage model registries and versioning
- Mentor and grow engineers
- Orchestrate model training pipelines
- Orchestrate software development lifecycle
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Systems | Automated Validation | Data pipeline | Distributed Systems | Feature Engineering | Feature Pipeline | Feature Store | LLM | Machine Learning | Model Orchestration | Model Registry | Model Serving | Model Training | Model versioning | Production observability | Python | System design
Education
N/A
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