Machine Learning

1 tydzień temu

Kraków, Lesser Poland HEINEKEN Global Shared Services Pełny etat 90 000 zł - 120 000 zł rocznie

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:
Your Responsibilities Would Include

  • building and evolving the MLOps framework for running, monitoring, and deploying ML pipelines
  • designing and maintaining platform components to automate and simplify ML workflows
  • developing production-grade ML libraries, algorithms, and CLI tooling
  • building and maintaining a FastAPI backend to expose results and trigger simulations/optimizations
  • automating workflows using Databricks Workflows and integrating with the Azure stack (Azure ML, ADF, Azure Functions, ADLS, Web Apps, Redis, etc.)
  • developing and enhancing end-to-end machine learning pipelines
  • optimizing data ingestion and feature engineering processes for large-scale applications
  • contributing to CI/CD processes with Azure DevOps
  • collaborating closely with Data Scientists and Engineers to improve the developer experience
  • conducting code reviews and ensuring best engineering practices (testing, standards, modularity).

You Are a Good Candidate If You Have

  • at least 3 years of experience as an MLOps or ML Engineer in production environments, combined with software engineering experience
  • strong Python programming skills
  • experience related to using ML infrastructure at scale
  • experience in writing production code for machine learning models
  • solid coding skills and software development experience
  • experience with Azure DevOps and CI/CD pipelines
  • working knowledge of Databricks and PySpark
  • ability to design clean, modular APIs and internal tools
  • 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.

Nice-to-have

  • experience with FastAPI or similar frameworks
  • familiarity with MLflow, or Azure ML pipelines
  • experience building internal platforms or tooling for ML/DS teams
  • understanding of orchestration patterns and scalable ML infrastructure.

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

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