Senior ML Backend Engineer
Tasks
- Build scalable machine learning infrastructure
- Collaborate with engineers, researchers, and product teams
- Design ML pipelines and tooling
- Develop automation testing observability monitoring reproducibility data lineage governance
- Ensure security governance responsible AI model risk management
- Identify architectural trade offs and improve scalability reliability performance cost
- Integrate new data sources and technologies
- Train evaluate deploy monitor machine learning models
- Transition prototypes into production systems
Perks/Benefits
Skills/Tech-stack
Automated Workflows | CI/CD | Cloud Native | Computer Vision | Containerization | Data Lineage | Deep learning | Distributed Computing | Docker | Experiment tracking | Geospatial Analytics | Kubernetes | LLM | LLM Agents | 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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