Software Engineer, ML Systems
Tasks
- Build end-to-end ML pipelines
- Collaborate with researchers on engineering roadmaps
- Deploy and scale workloads on Kubernetes
- Implement CI/CD for ML models
- Implement ETL and automated evaluation
- Implement observability and telemetry
- Refactor inefficient research code
- Set best practices for versioning
- Set up experiment tracking
Perks/Benefits
Skills/Tech-stack
AWS | Apache Airflow | Azure | CI/CD | Containerization | Data loading | Docker | ETL | Experiment tracking | Google Cloud | Kubeflow | Kubernetes | Machine Learning | Metaflow | Model Evaluation | Observability | Python | Telemetry | Workflow Orchestration
Education
Roles
Regions
Countries
States
Cities
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