Senior Machine Learning Engineer

📋 Description

• Develop and maintain production ML pipelines for data ingestion and training.
• Identify and fix ML training and inference bottlenecks (memory, latency).
• Collaborate with software engineers to integrate ML into products.
• Collaborate with data scientists to scale research prototypes.
• Work with MLOps and platform teams to integrate tools.
• Promote good engineering practices on product ML teams.

🎯 Requirements

• 5+ years in ML engineering.
• 5 years in software development; proficient in Java, C/C++, or Python.
• 5 years building/deploying ML systems in production.
• 5 years ML design/infrastructure: deployment, eval, data processing, debugging.
• Experience with big data pipelines feeding models.
• Strong software/data engineering and MLOps; Python ML stack (TF, PyTorch, XGBoost/LightGBM).
• Experience with ML infra tools: Kubernetes, Docker, Airflow, Argo, Prometheus, Grafana.
• Proven ability to lead projects end-to-end and communicate across audiences.

🎁 Benefits

• Opportunity to own end-to-end ML systems at scale.
• Amsterdam-based role with relocation support.
• Collaborative, diverse and inclusive culture.
• Full-time, stable growth path.