Machine Learning Platform Engineer I

Jobid: 3202888089 (0.11)

Overview

You join Mollie’s Machine Learning Platform to enable scalable, production-grade ML across domains like Risk & Fraud and Payments. You will work with cross-functional teams to deploy models, enhance the cloud-based platform on GCP, and build reliable CI/CD and model serving pipelines. This is a hands-on, Python- and Terraform-focused role within a distributed team in Lisbon and Amsterdam. You will help extend open-source AI tooling and shape our GenAI capabilities, delivering impact from research to production. You’ll be part of a mission-driven environment that values collaboration, rapid delivery, and scalable ML infrastructure.

Verantwoordelijkheden

• Collaborate with ML Platform Engineers, ML Scientists, and domain engineers to deliver scalable ML solutions
• Deploy and operationalize ML models to production in collaboration with scientists
• Enhance and maintain the cloud-based ML Platform on GCP with production-grade Python and Terraform
• Build and maintain CI/CD pipelines for ML training and inference
• Deploy, manage, and scale model serving endpoints on Kubernetes for low-latency inference
• Develop and host custom/open-source AI tooling to accelerate AI solutions
• Advise on MLOps best practices: model versioning, experiment tracking, data validation, and automated retraining
• Ensure platform reliability with observability, monitoring, and alerting for infra and models
• Maintain and extend Mollie’s open-source AI tooling (LiteLLM, LibreChat) and expand AI capabilities

Belangrijkste vereisten

• 1+ year of production ML deployment and maintenance
• Strong understanding of MLOps: experiment tracking, reproducibility, automation, model versioning, monitoring
• Proficient Python with ML/data libraries (scikit-learn, pandas, NumPy, XGBoost, LightGBM, MLflow)
• Familiarity with cloud platforms, preferably GCP
• Experience with Docker; knowledge of Kubernetes and Kubeflow is a plus
• Familiarity with Infrastructure-as-Code tools such as Terraform
• Experience building and maintaining CI/CD pipelines for ML workflows
• Strong attention to detail and ability to switch contexts quickly

• collaboration
• adaptability
• attention to detail
• Python
• Terraform
• scikit-learn

Lees hier meer…

Deel deze vacature: