Mid Level Machine Learning Engineer
- Level
- Mid
Not stated in the posting: salary, work type, visa.
Open. First seen 2 October 2026.
About the role
AB InBev | Growth Group's standard text
About us
AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.
About AB InBev Growth Group
AB InBev | Growth Group's standard text
Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.
In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft.
We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.
What you'll do:
- Implement and extend ML platform capabilities (training jobs, inference services, batch and online serving) following team architecture, standards, and best practices.
- Develop and maintain components of the ML model development workflow (project structure, experimentation, versioning, reproducibility) to improve consistency and reuse across teams.
- Build and operate observability for models in training and production—monitoring, logging, and alerting for performance, quality, and drift—in collaboration with platform and SRE partners.
- Support optimized model deployments (scaling, resource allocation, inference tuning) to meet cost, quality, and SLA targets.
- Troubleshoot pipeline and serving issues, document solutions, and share learnings with the team.
What you'll need:
- Bachelor’s degree in computer science, engineering, mathematics, or another quantitative field.
- Practical experience with ML platform components (e.g., feature pipelines, model registries, training and inference workflows).
- Solid software engineering fundamentals: clean code, testing, CI/CD, and maintainable system design.
- Python, PySpark, and SQL. Exposure to Java is a plus.
- Experience with Kubernetes, Databricks, Terraform, Azure DevOps (Git), Azure Cloud, and ML frameworks/libraries such as Scikit-learn, PyTorch, TensorFlow, ONNX, and serving tools (BentoML, Kedro, Seldon, KServe, Triton Inference Server, etc.).
- Comfort collaborating across teams, communicating technical tradeoffs clearly, and learning from senior engineers on architecture and platform decisions.
AB InBev | Growth Group's standard text
What We Offer:
- Performance based bonus*
- Attendance Bonus*
- Private pension plan
- Meal Allowance
- Casual office and dress code
- Days off*
- Health, dental, and life insurance
- Medicines discounts
- WellHub partnership
- Childcare subsidies
- Discounts on Ambev products*
- Clube Ben partnership
- Scholarship*
- School materials assurance
- Language and training platforms
- Transport allowance
*Rules applied
AB InBev | Growth Group's standard text
Equal Opportunity & Affirmative Action:
AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.
The following fields are optional, but anticipate the information for your registration*.
Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company.
For more information: www.abinbev.com
What this role asks for
Particular to this role
TensorFlow · Terraform · scikit-learn
Rare in AB InBev | Growth Group's other 45 open postings.
Standard for data science / ML roles
Machine Learning · PyTorch · Python · SQL
Common in data science / ML postings at any company.
52% of this description is written for the role. The rest is AB InBev | Growth Group's standard text, folded away below.
Read against AB InBev | Growth Group's other open postings on this site.
The team: BEES Data Engineering & One HIRES STEADILY
This role is one of 20 open in BEES Data Engineering & One. 5 were posted in the last 30 days and the oldest in September: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Python (17 of 20), Azure (16 of 20), CI/CD (14 of 20), SQL (14 of 20), Databricks (10 of 20), Machine Learning (9 of 20), Spark (8 of 20)
OTHER ROLES ON THIS TEAM
- Lead Data Engineer posted Oct 7
- AI Engineer posted Oct 5
- Staff Full-Stack Engineer - Data Intensive Web-Applications - Personalization posted Oct 2
- Staff Software Architect - Data Intensive Web-Applications - Personalization posted Oct 2
- Senior Data Scientist - Generative AI posted Sep 28
- Intermediate Java Developer posted Sep 14
- Intermediate Data Engineer posted Sep 10
- Senior Manager Data Engineer posted Sep 10
- Intermediate Data Scientist - Bees Data posted Aug 31
- Mid Level Data Analyst posted Aug 7
- Senior Data Analyst posted Aug 7
- Senior Machine Learning Engineer posted Jul 22
- Senior Data Analyst posted Jul 21
- Senior Data Engineer posted Jun 30
- Intermediate Data Analyst posted Jun 12
- Data Product Manager | Machine Learning Platform posted Jun 10
- Senior Data Engineer posted Feb 20
- Senior Data Analyst posted Sep 1
- Intermediate Data Engineer posted Sep 16
From the team and dates on AB InBev | Growth Group's own job board.
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