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 from design to deployment.

The ideal candidate brings 3-5 years of ML engineering experience, strong programming skills in Python, Bash, and C++, and expertise in MLOps and model lifecycle management. You'll have the opportunity to work in a hybrid model, enjoying modern office amenities and a strong team culture.

Brenntag offers a competitive compensation package and emphasizes professional growth through their Product Engineering Guild. The company's global presence, with 17,500+ experts across 72 countries, provides extensive opportunities for career development and impact. They maintain a strong commitment to diversity and inclusion, welcoming applications from all backgrounds.

This role is perfect for someone who wants to combine technical expertise with business impact, working on real-world applications of machine learning in a global enterprise setting. You'll be part of driving digital transformation in a traditional industry, with the backing of a major global organization.