Senior ML Backend Engineer
Tasks
- Apply responsible AI security governance and model risk controls
- Build scalable machine learning infrastructure
- Collaborate with ML engineers researchers and software teams
- Design ML pipelines for training evaluation and deployment
- Develop automation testing observability monitoring and reproducibility
- Evaluate and integrate data sources and technologies
- Implement data lineage and model governance
- Make architectural decisions for scalability reliability performance and cost
- Monitor and operate production machine learning systems
- Transition ML prototypes into production systems
Perks/Benefits
- N/A
Skills/Tech-stack
Automated testing | CI/CD | Cloud Computing | Data Lineage | Deep learning | Distributed Computing | Docker | Experiment tracking | Kubernetes | MLOps | Machine Learning | Model Governance | Model Monitoring | Observability | Python | Reproducibility | Responsible AI | Security | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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