Machine Learning Engineer

Digital & Technology Team (D&T) is an integral division of HEINEKEN Global Shared Services Center. We are committed to making Heineken the most connected brewery. That includes digitalizing and integrating our processes, ensuring best-in-class technology, and embedding a data-driven culture. By joining us you will work in one of the most dynamic and innovative teams and have a direct impact on building the future of Heineken!

Would you like to meet the Team, see our office and much more? Visit our website: Heineken (heineken-dt.pl)

Your responsibilities would include:

• developing production-level ML libraries and algorithms for existing and future products
• writing code to enhance machine learning capabilities
• reviewing code developed by other team members, providing feedback and insights
• Infrastructure Development and Management:
• developing and improving the infrastructure used for building and deploying machine learning models
• improving pipelines for data ingestion and feature engineering
• designing and implementing processes for end-to-end management of machine learning pipelines
• building data processing pipelines, large-scale machine learning systems, and big data technologies (e.g., Hadoop, Spark).
• developing and implementing scalable and efficient model training workflows on a large scale
• demonstrating very good coding skills and software development experience
• understanding fundamental data science concepts and have experience with common tooling and packages used for machine learning
• applying professional software engineering and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• writing clean, efficient, documented, and scalable code.

You are a good candidate if you have:

• at least 3 years of experience applying Machine Learning in the industry
• experience in writing production code for machine learning models
• experience related to using ML infrastructure at scale
• very good coding skills and software development experience
• fluency in Python programming.
• working knowledge of Databricks and PySpark
• end-to-end hands-on experience with building data processing pipelines, large-scale machine learning systems, and big data technologies (e.g., Hadoop, Spark)
• fluency in extracting information from databases and good SQL skills
• understanding of fundamental data science concepts and experience with common tooling and packages used for machine learning
• knowledge of application architectures and design patterns.

At HEINEKEN Kraków, we take integrity and ethical conduct seriously. If someone has concerns about a possible violation of legal regulations indicated in Polish Whistleblowing Act or our Code of Business Conduct, we encourage them to speak up. Cases can be reported to global team or locally (in line with the local HGSS Whistleblowing procedure) by selecting proper option in this tool or by communicating it on hotline.

We Offer: