Machine Learning Engineer

Brenntag, the global leader in chemical and ingredient distribution, is seeking a Machine Learning Engineer to join their innovative team in Amsterdam. This role offers a unique opportunity to work on high-impact machine learning applications in a global business environment. The position combines hands-on ML engineering with production system development, requiring expertise in both machine learning and software engineering practices.

The role involves integrating and optimizing machine learning models, designing APIs, and working with distributed systems. You'll be part of a collaborative team environment, working alongside data scientists and engineers to develop and deploy large-scale machine learning applications. The position requires strong technical skills in Python, MLOps, and cloud infrastructure, particularly with tools like Databricks and AWS.

Brenntag offers an attractive work environment with a hybrid work model, combining the flexibility of remote work with a modern office space complete with amenities like a canteen and social activities. The company's global presence, with over 17,500 experts across 72 countries, provides opportunities for international collaboration and career growth.

The ideal candidate will have 3-5 years of experience in Machine Learning Engineering, strong programming skills, and a passion for solving complex problems. This role is perfect for someone who wants to make a significant impact in a global organization while working with cutting-edge ML technologies and practices.