Senior ML Backend Engineer
Tasks
- Build scalable machine learning infrastructure
- Deploy and operate ML models in production
- Design ML pipelines and platforms
- Enable reproducibility data lineage and governance
- Ensure security and responsible AI compliance
- Evaluate and integrate new data sources and tools
- Implement automation and testing for ML environments
- Make architectural decisions for scalability reliability performance and cost
- Set up observability and monitoring for ML systems
- Transition models from prototype to production
Perks/Benefits
Skills/Tech-stack
CI/CD | Data Lineage | Deep learning | Distributed Computing | Docker | Experiment tracking | Kubernetes | MLOps | Machine Learning | Model Governance | Model Monitoring | Observability | Python | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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