Senior ML Backend Engineer
Tasks
- Build automation and testing for ML workflows
- Build machine learning infrastructure
- Collaborate with researchers to move models to production
- Deploy machine learning models
- Design machine learning pipelines
- Ensure reproducibility and data lineage
- Evaluate and integrate new data sources
- Implement model governance and responsible AI
- Implement observability and monitoring
- Improve infrastructure scalability reliability performance cost
- Maintain machine learning platforms
- Monitor machine learning systems
- Train and evaluate machine learning models
Perks/Benefits
Skills/Tech-stack
CI/CD | Cloud Native | Computer Vision | Containers | Data Governance | Data Lineage | Data Pipelines | Deep learning | Distributed Computing | Experiment tracking | Geospatial Analytics | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | Model Governance | Model Monitoring | Observability | Python | Reproducibility | Satellite imagery | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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