Senior ML Backend Engineer
Tasks
- Build machine learning infrastructure
- Collaborate with ML engineers and researchers
- Design ML training evaluation deployment workflows
- Develop automation and testing for ML systems
- Ensure reproducibility and data lineage for ML
- Evaluate and deploy machine learning models to production
- Implement observability and monitoring for ML
- Integrate new data sources and ML tooling
- Maintain machine learning pipelines
- Support model governance and production operations
Perks/Benefits
- N/A
Skills/Tech-stack
Automated testing | CI/CD | Cloud Native | Computer Vision | Data Lineage | Deep learning | Distributed Computing | Docker | Experiment tracking | Geospatial Analytics | 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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