Senior ML Backend Engineer
Tasks
- Build machine learning infrastructure
- Contribute to architecture decisions for scalability reliability performance and cost
- Design ML pipelines
- Develop automation and testing for ML workflows
- Ensure responsible AI security governance and model risk compliance
- Evaluate AI powered engineering tools
- Implement observability monitoring and reproducibility
- Integrate new data sources and tools
- Maintain machine learning platforms
- Manage data lineage and model governance
- Train, evaluate, deploy, and monitor models
- Transition models to production
Perks/Benefits
Skills/Tech-stack
Automated Workflows | CI/CD | Containerization | Data Lineage | Deep learning | Distributed Computing | Docker | Experiment tracking | Kubernetes | LLM | Language Models | Large Language Model | Large Language Model Agents | Large Language Models | MLOps | Machine Learning | Model Governance | Model Monitoring | Model Risk Management | Model risk | Observability | Python | Risk Management | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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