Machine Learning Platform Engineer I
Tasks
- Build and maintain CI CD pipelines for ML training and inference
- Collaborate with ML scientists and engineers to deliver scalable machine learning solutions
- Deploy and manage model serving endpoints on Kubernetes
- Deploy and operationalize ML models to production
- Enhance and maintain cloud based ML platform on GCP using Python and Terraform
- Implement MLOps best practices for model versioning and experiment tracking
- Maintain open source AI tooling and generative AI capabilities
- Set up observability monitoring and alerting for infrastructure and models
Perks/Benefits
Skills/Tech-stack
Alerting | Automated retraining | CI/CD | Data Validation | Docker | Experiment tracking | GCP | Kubeflow | Kubernetes | LightGBM | MLOps | MLflow | Machine Learning | Model versioning | Monitoring | NumPy | Observability | Pandas | Python | Scikit-learn | Terraform | XGBoost
Education
N/A
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