Senior ML Backend Engineer
Tasks
- Apply AI development tools for workflow automation
- Build scalable machine learning infrastructure
- Design ML pipelines and tooling
- Ensure reproducibility and data lineage
- Ensure security and responsible AI compliance
- Evaluate and integrate new data sources and tools
- Implement automation and testing
- Make architectural decisions for scalability and reliability
- Set up observability and monitoring
- Support model governance and production operations
- Transition models from prototype to production
Perks/Benefits
Skills/Tech-stack
Automated Workflows | CI/CD | Cloud Native | Computer Vision | Containerization | Data Governance | Data Lineage | Deep learning | Distributed Computing | Experiment tracking | Geospatial Analytics | Kubernetes | LLM Agents | MLOps | Machine Learning | Model Governance | Model Monitoring | Observability | Python | Reproducibility | Responsible AI | Security | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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