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 involves integrating and optimizing ML models, designing distributed systems, and working with cutting-edge technologies like Databricks and AWS.

As an ML Engineer, you'll be responsible for building and deploying scalable machine learning solutions that directly impact business operations. You'll work alongside data scientists and engineers in a collaborative, international environment, participating in the full analytics engineering lifecycle. The role requires expertise in Python, MLOps, and cloud infrastructure, with a focus on delivering production-ready solutions.

Brenntag offers an attractive work environment with a hybrid model, combining the flexibility of remote work with a modern office space featuring amenities like a canteen and social activities. The company's commitment to innovation is evident through initiatives like the Product Engineering Guild, where you can share ideas and learn from colleagues.

The ideal candidate will bring 3-5 years of ML engineering experience, strong programming skills, and a passion for solving complex problems. You'll be joining a company with over 17,500 experts across 72 countries, offering excellent opportunities for professional growth and impact on a global scale. Brenntag's inclusive culture values diversity and fosters collaboration, making it an ideal place for ambitious ML engineers looking to advance their careers.