Senior ML Backend Engineer
Tasks
- Apply responsible AI practices
- Build machine learning infrastructure
- Create testing and observability systems
- Deploy machine learning models
- Design ML Platforms
- Develop ML pipelines
- Ensure reproducibility
- Evaluate and integrate new data sources
- Implement MLOps automation
- Implement data lineage
- Integrate new ML tools and platforms
- Maintain machine learning infrastructure
- Make architecture decisions for scalability reliability performance cost
- Manage production ML operations
- Monitor model performance
- Set up model governance
- Support security and model risk management
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial Intelligence | Automated Workflows | Automation | CI/CD | Cloud Native | Computer Vision | Data Lineage | Deep learning | Distributed Computing | Docker | Experiment tracking | Kubernetes | LLM Agents | Language Models | Large Language Models | MLOps | Machine Learning | Model Governance | Model Monitoring | Observability | Python | Reproducibility | Version control
Education
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