Machine Learning Engineer
Job Description
Brenntag, the global leader in chemical 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 greenfield environment. The position involves integrating and deploying ML models at scale, designing APIs, and working with cutting-edge technologies like Databricks and AWS.
As an ML Engineer, you'll be part of a passionate and experienced team, working on real value-generating applications. The role requires expertise in MLOps, distributed systems, and various programming languages. You'll collaborate closely with data scientists and engineers in a matrix organization, contributing to the entire analytics engineering lifecycle.
Brenntag offers a modern hybrid workplace with an engaging office culture, including perks like Friday beers and gaming facilities. The company, with over 17,500 experts across 72 countries, provides a truly international working environment where innovation and collaboration are valued. They emphasize diversity and inclusion, creating an environment where different perspectives are appreciated and contribute to the company's success.
The ideal candidate should have 3-5 years of experience in Machine Learning Engineering, strong programming skills, and experience with MLOps and infrastructure as code. This is an excellent opportunity for someone looking to make a significant impact in a global organization while working with cutting-edge ML technologies.
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 and 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
- 2+ years of experience with MLOps
- Experience with Python, Bash, C++
- Extensive knowledge of machine learning evaluation metrics and best practices
- Collaborative individual who thrives in a team environment
Benefits For Machine Learning Engineer
- Hybrid workplace model
- Office with canteen
- Friday beers
- Nintendo Switch
- Competitive compensation package
- International team environment
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