Senior ML Backend Engineer
Tasks
- Build scalable machine learning infrastructure
- Deploy and operate ML models in production
- Design ML pipelines for large scale workloads
- Develop automation for ML environments
- Drive architectural decisions for scalability reliability performance and cost
- Ensure Responsible AI and model risk compliance
- Implement experiment tracking and reproducibility
- Integrate new data sources and tools
- Maintain data lineage and governance
- Set up model monitoring and evaluation
Perks/Benefits
Skills/Tech-stack
Automation | CI/CD | Computer Vision | Containers | Data Governance | Data Lineage | Deep learning | Distributed Computing | Experiment tracking | Geospatial Analytics | Kubernetes | LLM | Language Models | Large Language Models | MLOps | Machine Learning | Model Governance | Model Monitoring | Observability | Python | Responsible AI | Security | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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