Machine Learning Platform Engineer
Tasks
- Build ML model lifecycle systems
- Create model training pipelines and experiment tracking
- Design low-latency online inference systems
- Develop platform APIs and backend services
- Ensure reliability safety observability and operational risk
- Implement feature platforms and data workflows
- Provide AI observability evaluation and tracing
- Support internal teams with developer experience tooling
- Train evaluate deploy and serve ML models
Perks/Benefits
Skills/Tech-stack
AWS | Bifrost | BigQuery | Chronon | Comet | Concurrency | Data Pipelines | Datahub | Distributed Systems | Evaluation | Experiment tracking | Failure handling | Feast | Feature Store | Go | Google Cloud | LLM Tooling | Langfuse | Model Serving | Online Inference | Python | Vertex AI
Education
N/A
Regions
Countries
States
Cities
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