Senior ML Engineer — Production-Ready AI, Real Impact

DeepCamp; Amsterdam; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Health insurance discount

Bike plan

Fresh lunch, coffee and snacks

Pension plan and travel expense cover

Job summary

Picnic is seeking a Machine Learning Engineer in Amsterdam to design and deploy intelligent systems that solve big challenges. You will productionize models with robust monitoring and integrate them into operational systems, collaborating with product analysts and stakeholders to ensure real-world impact.

You will work on varied projects including demand forecasting, fraud detection, recommendations, search ranking, and delivery time predictions, contributing to a data-driven, scalable ML

Qualifications

• Master’s degree or higher in AI, Computer Science, Mathematics, or related field.
• 5+ years of experience in data science or applied machine learning.
• Excellent communication skills to explain complex ideas to business stakeholders.
• Experience designing, deploying, and maintaining production ML systems with solid software engineering.

Responsibilities

• Collaborate with stakeholders to define problems and deliver impactful ML solutions.
• Develop tools and enhancements for Picnic’s cloud-based ML platform.
• From inception to production, contribute to end-to-end ML projects and continuous improvement.
• Build and deploy models with monitoring and reliable integration into operational systems.

Skills

Python

SQL

Communication

Production ML systems

Data science

Education

Master’s degree in AI/CS/Math

Tools

Docker

Kubernetes

CI

Job description

Picnic is seeking a Machine Learning Engineer in Amsterdam to design and deploy intelligent systems that solve big challenges. You will productionize models with robust monitoring and integrate them into operational systems, collaborating with product analysts and stakeholders to ensure real-world impact.

You will work on varied projects including demand forecasting, fraud detection, recommendations, search ranking, and delivery time predictions, contributing to a data-driven, scalable ML