Requirements

• 5+ years of experience as an engineer working in the machine learning domain
• Strong Python programming skills
• Experience with the full machine learning model lifecycle in production environments
• Experience leveraging big data to create pipelines for feeding models with appropriate data
• Strong understanding of software engineering practices, data engineering, and MLOps principles
• Knowledge of data science, statistics, and machine learning techniques
• Familiarity with Python data science tools such as (py)spark, (Trino) SQL, Tensorflow, PyTorch, XGBoost/LightGBM, Pandas, MLFlow or similar frameworks, Airflow
• Experience working with ML infrastructure components like Kubernetes, Docker, Airflow, Argo-workflows, Prometheus, Grafana
• Experimental mindset with a launch fast and iterate approach
• Proactive leadership in projects from ideation to deployment with strong communication skills across stakeholders

Nice to Haves

• Experience with distributed GPU compute environments
• Experience working with a Machine Learning Feature Store

What You'll Be Doing

• Develop and maintain production ML pipelines for data ingestion, training, validation, and deployment in various ML domains including online learning, clustering, supervised and semi-supervised learning, representation learning, AML systems, and real-time anomaly detection
• Identify and resolve performance bottlenecks in ML training and inference such as memory consumption, latency, and training time
• Collaborate with software engineers to integrate ML solutions into products and services
• Work with data scientists to transition research prototypes into scalable solutions
• Partner with MLOps and platform teams to integrate current tools and influence future tool development
• Support and promote good engineering practices within product ML teams

Perks and Benefits

• Opportunity to work on large-scale, impactful ML systems across diverse domains such as payment optimization, identity and verification decisioning, dispute intelligence, and AML detection
• Work in a collaborative, innovative environment that encourages ownership and career growth
• Be part of a diverse and inclusive company culture welcoming different backgrounds and perspectives
• Full-time position based in Amsterdam with relocation support if required
• Smooth, respectful, and transparent hiring and interview process