Machine Learning Engineer

Responsibilities

• 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 to better solve defined business problems
• You will be part of the analytics engineering lifecycle, including designing distributed systems, writing production-level code for data sciences models, conduct code reviews while working alongside our data engineering and infrastructure teams.
• Support the investigation of new software packages/tools, APIs, and algorithms to deliver quality analytics and machine learning at scale

Qualifications

• 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
• Develop & test large scale machine learning applications with team of data scientists and engineers
• 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, specifically within a matrix organization
• Creative problem solver and innovator

What makes' working as MLE at Brenntag great?

• Opportunity to develop high impact & real value generating machine learning applications.

What you can expect from us:

• Unique greenfield environment to drive change in a global business
• Have fun working in the passionate and experienced team
• Opportunity to present your ideas and learn from others at our Product Engineering Guild
• Hybrid workplace model
• Cool office with canteen, Friday beers and Nintendo Switch
• Competitive compensation package
• International team
• Friendly and supportive colleagues

Brenntag provides equal employment opportunities to qualified applicants and employees of all backgrounds and identities to create a workplace where difference is valued because it forms a resilient and more innovative organization. We do not discriminate on the basis of age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or any other protected characteristic. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds.

Brenntag TA Team