Machine Learning Platform Engineer I
Core
Build and maintain Mollie's central Machine Learning Platform to enable scalable deployment of custom ML models and GenAI tooling for internal teams and customers.
Role type
Machine Learning Platform Engineer (IC)
Builds
Cloud-based ML Platform, CI/CD pipelines, model serving endpoints, and custom GenAI tooling
Domain
Financial Services / Payments / MLOps
Deliverable
production ML models | infrastructure
Required skills
Python, Terraform, GCP, Kubernetes, Docker, MLOps principles, CI/CD pipelines, model versioning, observability
Preferred skills
Kubeflow, LiteLLM, LibreChat, infrastructure-as-code
Technologies
Python, Terraform, GCP, Kubernetes, Docker, Kubeflow, MLflow, scikit-learn, pandas, NumPy, XGBoost, LightGBM, LiteLLM, LibreChat
Responsibilities
Deploy and operationalize ML models to production; Enhance and maintain cloud-based ML Platform on GCP; Build and maintain CI/CD pipelines for ML workflows; Deploy, manage, and scale model serving endpoints on Kubernetes; Champion MLOps best practices; Ensure platform reliability via observability and monitoring; Maintain and extend open-source AI tooling.
Seniority
Junior to Mid-level, hands-on IC