Senior ML Backend Engineer
Tasks
- Build scalable machine learning infrastructure
- Collaborate on production readiness
- Contribute to ML infrastructure architecture
- Deploy machine learning models
- Design machine learning pipelines
- Ensure model governance and risk management
- Implement MLOps automation
- Improve observability and reproducibility
- Integrate data sources and tools
- Monitor model performance
Perks/Benefits
- N/A
Skills/Tech-stack
Automated Workflows | CI/CD | Computer Vision | Containerization | Data Engineering | Data Lineage | Deep learning | Distributed Computing | Docker | Experiment tracking | Geospatial Analytics | Kubernetes | LLM | MLOps | Machine Learning | Model Governance | Model Monitoring | Observability | Python | Reproducibility | Version control
Education
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