Senior ML Backend Engineer
Tasks
- Build machine learning infrastructure
- Develop automation and observability
- Enforce model governance and responsible AI
- Ensure security and model risk management
- Implement reproducibility and data lineage
- Integrate new data sources and tools
- Maintain machine learning pipelines
- Make architecture decisions for scalability reliability performance cost
- Train evaluate deploy monitor models
- Transition models to production
Perks/Benefits
- N/A
Skills/Tech-stack
Automation | CI/CD | Cloud Computing | Containers | Data Lineage | Data Management | Deep learning | Distributed Computing | Docker | Experiment tracking | Kubernetes | LLM | Language Models | Large Language Models | MLOps | Machine Learning | Model Governance | Model Monitoring | Observability | Python | Reproducibility | Security | Version control
Education
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