Senior ML Backend Engineer
Tasks
- Apply model governance
- Build machine learning infrastructure
- Contribute to ML system architecture decisions
- Deploy machine learning models
- Design scalable ML platforms
- Develop automation and testing
- Ensure reproducibility
- Ensure security and responsible AI compliance
- Evaluate AI tools for productivity
- Implement CI/CD workflows
- Implement observability
- Integrate new data sources
- Maintain machine learning pipelines
- Manage data lineage
- Monitor model performance
Perks/Benefits
Skills/Tech-stack
Automated Workflows | CI/CD | Cloud Native | Data Governance | Data Lineage | Deep learning | Distributed Computing | Docker | Experiment tracking | Kubernetes | LLM | MLOps | Machine Learning | Model Governance | Model Monitoring | Observability | Python | Reproducibility | Security | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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