Senior ML Backend Engineer
Tasks
- Apply responsible AI practices
- Build machine learning infrastructure
- Collaborate with machine learning engineers
- Collaborate with researchers
- Containerize ML workloads
- Create experiment tracking workflows
- Deploy machine learning models
- Design ML pipelines
- Develop ML platforms
- Enforce security and risk management
- Ensure reproducibility
- Evaluate new data sources
- Implement CI/CD for ML
- Implement model monitoring
- Integrate new ML tools
- Manage data lineage
- Monitor machine learning models
- Operate Kubernetes environments
- Support model governance
Perks/Benefits
Skills/Tech-stack
Automation | CI/CD | Cloud Computing | Containerization | Data Lineage | Deep learning | Distributed Computing | Docker | Experiment tracking | Kubernetes | MLOps | Machine Learning | Model Governance | Model Monitoring | Observability | Python | Reproducibility | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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