ML Ops Platform Engineer
Tasks
- Automate ML training pipelines
- Build and maintain MLOps platform
- Deploy ML models to Kubernetes
- Implement CI/CD pipelines for ML
- Implement reproducibility version control and governance
- Integrate platform with data pipelines and workflows
- Monitor deployed ML models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Azure | BentoML | CI/CD | Comet ML | Databricks | GCP | GitHub Actions | GitLab CI | Infrastructure as Code | Jenkins | Kubeflow | Kubernetes | ML model monitoring | MLServer | MLflow | Model Monitoring | PySpark | PyTorch | Python | SQL | SageMaker | Scikit-learn | TensorFlow | Terraform | Vertex AI | “as-code”
Education
N/A
Roles
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