Senior Machine Learning Engineer

The Data Domain comprises four teams: Data Science (DS; including ML Engineering); Data Engineering, Analytics Engineering, and Data Governance. In this central Domain, we enable Mollie and its Merchants to create value from data by providing a central data platform, data models, and machine learning (ML) models.

Your Opportunity

We are looking for a Senior ML Engineer to join our growing team of Data Scientists (DSs) & Machine Learning Engineers (MLEs). Our team is set up as a central entity that provides advanced analytics capabilities across Mollie. We primarily develop predictive ML models that provide decision intelligence to our colleagues in various departments, such as Product, Operations, and Commerce. We also developed and now maintain a cloud-based ML Platform, which we use for both model development and production.

This is a hands-on role, where you will spend most of your time developing in Python together with our team of MLEs and DSs. You will also be interfacing directly with peers in Product & Engineering, including active participation in the Data Domain Architecture Guild.

This role is based at Mollie’s Lisbon Hub. You will be part of a geographically-distributed team (Amsterdam/Lisbon/Milan) that is comfortable collaborating virtually & hybrid.

What you'll be doing

• As a Sr ML Engineer, you will be working closely with other ML Engineers, Data Scientists, and various engineers across Mollie

• Lead the design and development of scalable, low-latency ML infrastructure and services at Mollie, including adding new functionality to our ML Platform

• Define and implement best practices & standards in MLOps

• Mentor ML Engineers while developing your craftsmanship together

• Bring models to production in collaboration with Data Scientists

• Evaluate feasibility of potential ML model development projects across Mollie

• Document MLE workflows and ensure compatibility with other systems at Mollie, including compliance with security standards (threat modeling)

What you'll bring

• You have 5+ years of proven experience as an ML Engineer (or similar), including developing and maintaining ML Platforms and Model Pipelines

• You have advanced software engineering skills and love coding in Python. You are an expert in at least one major cloud AI platform, preferably Google Cloud’s Vertex AI

• You have significant experience with containers and container orchestration, e.g. with Docker, Kubernetes, and Kubeflow

• You have experience: 1. Using Terraform or similar infrastructure-as-code tools, 2. Using (Py)Spark and managing Spark clusters, 3. Implementing streaming applications and related infrastructure

• You know your way around a linux shell and are comfortable with Git for version control

• You are familiar with the Model Development Lifecycle and common DS libraries, such as scikit-learn, pandas, feature-engine, shap, and mlflow

• You are detail-oriented but can also quickly shift priorities if required

• You have solid presentation skills and can communicate to a wide variety of audiences

• You enjoy working collaboratively in a cross-functional & distributed team environment

• You are comfortable in an agile Way of Working, with Scrum, Kanban, or similar frameworks

Nice to have

• Terraform Developer Certification

• Google Cloud ML Engineer Certification

• Experience in the financial services industry (banking or fintech)

• M.Sc. or Ph.D. in Machine Learning or Computer Science