Senior ML Backend Engineer
Tasks
- Build machine learning infrastructure
- Deploy machine learning models
- Design ML pipelines
- Develop MLOps automation
- Ensure reproducibility
- Ensure responsible AI compliance
- Evaluate machine learning models
- Evolve machine learning pipelines
- Implement ML testing
- Implement model monitoring
- Implement observability
- Improve model performance
- Improve operational efficiency
- Integrate new data sources
- Maintain machine learning infrastructure
- Make architecture tradeoff decisions
- Manage data lineage
- Monitor machine learning systems
- Support model governance
- Support model risk management
- Train machine learning models
Perks/Benefits
- Collaborative environment
- Inclusive workplace
- Opportunity to work on advanced ML challenges
- Professional growth opportunities
Skills/Tech-stack
Automated Workflows | CI/CD | Cloud Computing | Computer Vision | Data Lineage | Data Management | Deep learning | Distributed Computing | Docker | Experiment tracking | Geospatial Analytics | Kubernetes | Language Models | Large Language Models | 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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