Senior ML Backend Engineer
Tasks
- Apply responsible AI and model risk management
- Build machine learning infrastructure for model development
- Build scalable cloud native infrastructure for ML workloads
- Deploy and monitor machine learning models
- Design ML pipelines for training and evaluation
- Develop automation and testing for ML workflows
- Ensure reproducibility and data lineage
- Evaluate and integrate new data sources and tools
- Implement model governance and production operations
- Implement observability and monitoring for ML systems
Perks/Benefits
- N/A
Skills/Tech-stack
Automated Workflows | CI/CD | Cloud Native | Containerization | Data Governance | Data Lineage | 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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