Senior ML Backend Engineer
Tasks
- Automate workflows using AI development tools coding assistants LLM agents
- Build machine learning infrastructure for training evaluation deployment monitoring
- Collaborate with machine learning engineers researchers and software teams
- Contribute to architecture decisions for scalability reliability performance cost
- Design cost effective ML pipelines and platforms
- Develop automation testing observability monitoring reproducibility data lineage governance
- Ensure responsible AI security governance model risk compliance
- Evaluate and integrate new data sources technologies platforms tools
- Transition models from prototype to production
Perks/Benefits
- N/A
Skills/Tech-stack
Automated Workflows | CI/CD | Cloud Computing | Containerization | Data Lineage | Deep learning | Distributed Computing | Docker | Experiment tracking | Kubernetes | LLM | MLOps | Machine Learning | Model Governance | Model Monitoring | Observability | Python | Reproducibility | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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