Machine Learning Engineer

📋 Description

• Build ML infra to train and deploy ranking models for content.
• Work end-to-end from use case design to delivery and monitoring.
• Maintain production ML stack and raise engineering standards.
• Liaise with ML Platform to adopt technologies and set requirements.
• Contribute to Wolt ML Engineering and Applied Science communities.
• Join cross-disciplinary team with scientists, engineers and analysts to impact KPIs.
• Work at Wolt's scale across 30 markets and millions of customers.

Qualifications

• 2+ years in ML/MLOps and end-to-end deployments.
• Deployed ML models in production at scale with low latency.
• Experience in scaling, monitoring ML stacks, troubleshooting.
• Real-time inference in production.
• Python software engineering with ML/MLOps principles.
• Docker, Kubernetes, Flyte, MLflow, Seldon experience.
• Strong communication and cross-team collaboration.

🎁 Benefits

• Remote-friendly setup in Finland, Sweden, or Germany.
• Based in Berlin, Helsinki or Stockholm.
• Work across 30 markets and millions of customers.
• Collaborative, diverse team environment.
• Learning and growth in ML engineering.
• Flexible, impactful work.