Senior ML Backend Engineer
Tasks
- Apply responsible AI security and risk management standards
- Build scalable machine learning infrastructure
- Create data lineage and governance capabilities
- Design ML pipelines and platforms
- Develop MLOps automation and tooling
- Enable experiment tracking and reproducibility
- Implement model monitoring and production operations
- Implement model training evaluation deployment monitoring
- Integrate new data sources and ML tools
- Support ML architecture scalability reliability performance cost
Perks/Benefits
- Collaborative work environment
- Exposure to responsible AI and model governance
- Inclusive workplace
- Opportunities in computer vision and geospatial analytics
- Professional growth opportunities
Skills/Tech-stack
Automated Workflows | Automation | CI/CD | Cloud Computing | Containerization | Data Governance | Data Lineage | Deep learning | Distributed Computing | Docker | Experiment tracking | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | Model Governance | Model Monitoring | Observability | Python | Reproducibility | Responsible AI | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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