Senior ML Backend Engineer
Tasks
- Build machine learning infrastructure
- Collaborate on ML architecture decisions
- Deploy machine learning models
- Design machine learning pipelines
- Ensure model governance and responsible AI
- Evaluate data sources and integrate technologies
- Implement automation for ML workflows
- Implement observability for ML environments
- Maintain data lineage and reproducibility
- Maintain machine learning platforms
- Monitor machine learning systems
- Transition models to production
Perks/Benefits
- N/A
Skills/Tech-stack
Automated Workflows | CI/CD | Cloud Native | Computer Vision | Data Lineage | Data reproducibility | Deep learning | Distributed Computing | Docker | Experiment tracking | Kubernetes | LLM Agents | MLOps | Machine Learning | Model Governance | Model Monitoring | Observability | Python | Version control
Education
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