Senior ML Backend Engineer
Tasks
- Build scalable machine learning infrastructure
- Deploy and monitor machine learning models
- Design ML pipelines
- Develop automation for ML workflows
- Ensure model governance and responsible AI
- Evaluate data sources and technologies
- Implement observability and monitoring
- Integrate ML models into production systems
- Maintain reproducibility and data lineage
- Support security and model risk management
Perks/Benefits
Skills/Tech-stack
Automated Workflows | Automation | CI/CD | Cloud Native | Containerization | Data Governance | Data Lineage | Deep learning | Distributed Computing | Experiment tracking | Kubernetes | MLOps | Machine Learning | Model Governance | Model Monitoring | Observability | Python | Reproducibility | Responsible AI | Security | Version control
Education
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