Senior ML Backend Engineer
Tasks
- Build machine learning infrastructure
- Collaborate with ML researchers and software teams
- Deploy and monitor scalable ML workloads
- Design ML pipelines and platforms
- Develop automation and testing for ML
- Enforce model governance and responsible AI
- Ensure reproducibility and data lineage
- Evaluate and integrate new data sources
- Implement observability and monitoring
- Improve security and model risk management
- Make architectural decisions for scalability and reliability
- Transition ML models to production
Perks/Benefits
Skills/Tech-stack
Automated Workflows | CI/CD | Cloud Native | Containerization | Data Lineage | Deep learning | Distributed Computing | Docker | Experiment tracking | Kubernetes | MLOps | Machine Learning | Model Governance | Model Monitoring | Model Reproducibility | Observability | Python | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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