Machine Learning Engineer

Brenntag, the world's leading distributor of chemicals and ingredients, is seeking a Machine Learning Engineer to join their innovative team in Amsterdam. This role presents a unique opportunity to work at the intersection of enterprise-scale operations and cutting-edge machine learning technologies.

The position requires 3-5 years of experience in Machine Learning Engineering, with a strong focus on MLOps and production deployment of ML models. You'll be responsible for integrating machine learning models with operational applications, designing APIs, and managing model deployment at scale. The role combines hands-on technical work with collaborative team engagement, requiring expertise in Python, Bash, C++, and modern MLOps tools like Databricks and AWS.

Working at Brenntag offers a distinctive opportunity to drive change in a global business with real impact. The company's extensive network, spanning 600 sites across 72 countries with over 17,500 experts, provides a robust platform for professional growth and innovation. The position offers a hybrid workplace model, combining the flexibility of remote work with a modern office environment that includes amenities like a canteen and recreational facilities.

The ideal candidate will have a bachelor's degree in a relevant field, strong programming skills, and experience with infrastructure as code. You'll join a passionate, experienced team where you can contribute to high-impact projects while developing your expertise in large-scale machine learning applications. The company culture emphasizes collaboration, innovation, and continuous learning, with opportunities to present ideas and learn from others through the Product Engineering Guild.

Brenntag offers a competitive compensation package and fosters an inclusive environment that values diversity and different perspectives. The position provides a perfect blend of technical challenges, professional development, and work-life balance, making it an excellent opportunity for a Machine Learning Engineer looking to make a significant impact in a global organization.