Senior ML Backend Engineer
Tasks
- Add testing and observability for ML systems
- Apply responsible AI and model risk management
- Build machine learning infrastructure
- Collaborate with ML engineers and researchers on model delivery
- Deploy and operate ML workloads in cloud
- Design ML pipelines for training evaluation deployment
- Ensure reproducibility and versioning
- Evaluate and integrate new data sources
- Implement automation for ML workflows
- Maintain machine learning platforms
- Manage data lineage and governance
- Monitor model performance in production
- Transition models from prototype to production
Perks/Benefits
- Collaborative environment
- Inclusive workplace
- Opportunity to work on advanced ML challenges
- Professional growth opportunities
Skills/Tech-stack
Automated Workflows | CI/CD | Cloud Native | Containerization | Data Lineage | Deep learning | Distributed Computing | 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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