Machine Learning Engineer
Description For 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 presents an exciting opportunity to work at the intersection of machine learning and enterprise-scale operations.
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.
As a Machine Learning Engineer at Brenntag, you'll work in a unique greenfield environment where you can drive real change in a global business. The company, headquartered in Essen, Germany, operates in 72 countries with over 17,500 experts across 600 locations. This provides an exceptional opportunity to work on high-impact projects with international reach.
The ideal candidate should have a bachelor's degree in a relevant field and extensive experience with tools like Databricks, GitLab pipelines, and AWS. Strong programming skills in Python, Bash, and C++ are essential, as is experience with MLOps and model lifecycle management. You'll be part of a passionate and experienced team, working in a hybrid model that combines remote flexibility with office presence.
Brenntag offers a compelling package including competitive compensation, a modern office environment with amenities like a canteen and social activities, and the opportunity to work with a friendly, supportive international team. The company strongly values diversity and inclusion, welcoming applications from candidates of all backgrounds.
This role is perfect for someone who wants to combine technical expertise with business impact, working at a company that's at the forefront of global chemical and ingredient distribution. You'll have the chance to innovate, learn, and grow while contributing to meaningful projects that drive business value.
Responsibilities For Machine Learning Engineer
- Integrate machine learning models with operational applications and tools
- Design and build APIs and software libraries that support the integration of models
- Manage, deploy models at scale that solve business problems
- Optimize machine learning models through hyperparameter tuning and feature engineering
- Participate in analytics engineering lifecycle, including designing distributed systems
- Write production-level code for data sciences models
- Conduct code reviews while working with data engineering and infrastructure teams
- Support investigation of new software packages/tools, APIs, and algorithms
Requirements For Machine Learning Engineer
- Bachelor's degree in computer science, mathematics, statistics, economics, engineering or related field
- 3 to 5 years of experience in Machine Learning Engineering
- Experience working with Databricks
- Experience with GitLab pipelines
- Competency with infrastructure as code (e.g., Terraform with AWS)
- Experience with MLOps & model lifecycle management using Databricks
- Experience with development & deployment of large scale Machine Learning Project
- Experience with various programming and scripting languages (Python, Bash, C++)
- Extensive knowledge of machine learning evaluation metrics and best practices
- Collaborative individual who thrives in a team environment
- Creative problem solver and innovator
Benefits For Machine Learning Engineer
- Hybrid workplace model
- Office with canteen
- Friday beers and Nintendo Switch
- Competitive compensation package
- International team environment
- Opportunity to develop high impact machine learning applications
- Product Engineering Guild participation
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