Machine Learning Platform Engineer I

📋 Description Collaborate with ML Platform Engineers, ML Scientists, and domain teams. Deploy and operationalize ML models to production with ML Scientists. Maintain cloud ML Platform on GCP; write production-grade Python and Terraform. Build CI/CD pipelines for ML training and inference across environments. Deploy and scale model serving endpoints on Kubernetes for low-latency inference. Maintain open-source AI tooling (LiteLLM, LibreChat) and expand capabilities. 🎯 Requirements 1+ year of experience deploying and maintaining ML models in production. Python with scikit-learn, pandas, NumPy, XGBoost, LightGBM, MLflow. Familiarity with GCP. Docker, Kubernetes, Kubeflow experience. Terraform (IaC). CI/CD for ML workflows. 🎁 Benefits Regular feedback and performance reviews to support growth. Fair and transparent salary reviews. Internal mobility: many Vantage Computes move into new roles. Tools, trust, and opportunities to grow your way.