Senior Machine Learning Engineer

Introduction

HEINEKEN’s

As we scale our analytics solutions globally, we are seeking an experienced Azure Machine Learning Engineer to join our dynamic team. You will lead advanced data analysis projects and shape the analytical direction of our company. By leveraging Azure ML and modern engineering practices, you will uncover insights that influence key business decisions and collaborate with cross-functional teams to deliver data-driven strategies.

About the Team

The Global Analytics team is a diverse group of Data Scientists, Data Engineers, Business Intelligence Specialists, and Analytics Translators, spanning three continents and five countries. Our culture fosters collaboration, encourages innovation, and maintains reliability. Together, we are committed to transforming HEINEKEN into a leader in data-driven decision-making, leveraging our global diversity to tackle challenges and create value.

Responsibilities

• Design, develop, and deploy production-level ML models and libraries on Azure ML.
• Build scalable and efficient model training workflows, including CI/CD pipelines for ML.
• Implement processes for end-to-end management of machine learning pipelines.
• Develop robust data ingestion, feature engineering, and preprocessing pipelines.
• Enhance infrastructure for ML deployment using Azure services (Blob Storage, ADLS2, WebApps, ContainerApps).
• Write high-quality, efficient, and well-documented Python code.
• Collaborate with data scientists and engineers to deliver ML products into production.
• Review code from team members and provide constructive feedback.
• Contribute to DevOps practices including IaC (Bicep) and containerization (Docker).
• Ensure robust monitoring, logging, and troubleshooting using Azure services.

Requirements

• 8+ years of overall software engineering experience.
• Strong Python programming skills (5+ years).
• Solid understanding of OOP principles (2 years).
• Experience with Azure ML, Blob Storage/ADLS2, WebApps, ContainerApps, and DevOps pipelines (2 years).
• Familiarity with Azure’s Python SDKs (1+ year).
• Experience with IaC (Bicep) (1 year).
• Hands-on with Docker (3 years).
• Experience with FastAPI or similar frameworks (1 year).
• Solid SQL knowledge, preferably PostgreSQL.
• Strong knowledge of dataframe libraries (Pandas).
• Working knowledge of Bash scripting.
• Experience working in Agile environments and collaborating in distributed teams.
• Fluent in English.

Nice to Have

• Familiarity with Kubernetes.
• Experience with Databricks, Spark, and PySpark.
• Experience with Django.
• Familiarity with NoSQL (Redis).
• Prior experience with Azure logging and monitoring services.