Senior ML Backend Engineer
Tasks
- Build machine learning infrastructure
- Collaborate with machine learning engineers and researchers
- Create automation and tooling for ML workflows
- Deploy and monitor machine learning models
- Design scalable ML platforms
- Enable data lineage and model governance
- Ensure security and responsible AI compliance
- Implement experiment tracking and reproducibility
- Improve performance and cost through architecture decisions
- Integrate new data sources and technologies
- Maintain model training pipelines
- Operate cloud native distributed computing systems
- Set up observability and monitoring for ML systems
Perks/Benefits
- Collaborative environment
- Inclusive workplace
- Opportunity to work on advanced machine learning
- Professional growth opportunities
Skills/Tech-stack
Automated Workflows | CI/CD | Cloud Computing | Containerization | Data Lineage | Data Privacy | Deep learning | Distributed Computing | Docker | 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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