Senior ML Backend Engineer
Tasks
- Apply responsible AI and model governance
- Build and maintain machine learning infrastructure
- Collaborate with ML engineers and researchers
- Design ML pipelines and platforms
- Develop ML automation and tooling
- Evaluate and integrate new data sources
- Implement experiment tracking and reproducibility
- Make architecture decisions for scalability reliability performance and cost
- Set up ML monitoring and observability
- Support model deployment and production operations
Perks/Benefits
Skills/Tech-stack
Automated Workflows | Automation | CI/CD | Computer Vision | Containerization | Data Lineage | Deep learning | Distributed Computing | Docker | Experiment tracking | Geospatial Analytics | 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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