Senior Machine Learning Engineer
- Level
- Senior
Not stated in the posting: salary, work type, visa.
Open. First seen 3 October 2026.
About the role
BEES's standard text
About BEES
Join us to build the future of B2B commerce!
BEES is AB InBev’s B2B platform. Through our ecosystem, merchants and retailers across 29 countries can stock their businesses quickly, easily, and securely.
At BEES, we dream big, lead with purpose, and develop technology that transforms the way retailers and sellers grow.
Every line of code and every partnership is built in service of a single mission: to make commerce better for retailers and sellers around the world. Here, your work is not just important. It makes a difference!
What you'll do:
- Drive BEES AI’s mission, vision, and ML strategy into concrete technical roadmaps and align architecture and standards with long-term goals.
- Own technical end-to-end delivery of ML pipelines—from architecture and data/feature pipelines through model development, deployment, and production scaling—in partnership with data, platform, and product teams.
- Design and standardize the ML model development framework (project structure, experimentation, versioning, reproducibility) to improve consistency and reuse across teams.
- Build and implement observability across the model lifecycle (training and production) via monitoring, logging, and alerting for performance, quality, and drift.
- Ensure optimized deployments that minimize cost and maximize quality (e.g. scaling, resource allocation, inference optimization) while meeting SLAs.
What you'll need:
- Bachelor's degree in computer science, engineering, mathematics, or any quantitative field. A master's degree is a plus.
- Relevant experience with ML platform architecture (e.g. feature stores, model registries, training and inference pipelines).
- Systems thinking (scalability, reliability, latency, cost)
- Software design patterns for building maintainable, production-ready ML systems.
- Python, PySpark and SQL. Java, Rust and NodeJS is a plus
- Kubernetes, Databricks, Terraform, Azure Devops (Git), Azure Cloud, ML Frameworks (BentoML, Kedro, Seldon, KServe, Triton Inference Server, etc.) and ML Libraries (Scikit Learn, Pytorch, Tensor Flow, ONNX, etc.)
More about you:
- You´re motivated by building up world class solutions that impacts millions of users all over the world;
- You´re creative when solving problems and is continuously seeking improvements for processes and solutions;
- You can communicate clearly with your team and the company to identify issues and demands;
- You have the autonomy to recognize the current and new priorities, evaluating the impact of their outcomes in the final result.
BEES'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
Equal Opportunity & Affirmative Action:
ABI 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, ABI 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.bees.com and www.abinbev.com
What this role asks for
Particular to this role
Node.js · Rust · Terraform · scikit-learn
Rare in BEES's other 46 open postings.
Standard for data science / ML roles
Machine Learning · PyTorch · Python · SQL
Common in data science / ML postings at any company.
73% of this description is written for the role. The rest is BEES's standard text, folded away below.
Read against BEES's other open postings on this site.
The team: BEES Data Engineering & One HIRES STEADILY
This role is one of 19 open in BEES Data Engineering & One. 5 were posted in the last 30 days and the oldest in January: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Azure (16 of 19), Python (15 of 19), CI/CD (14 of 19), SQL (12 of 19), Databricks (9 of 19), Spark (8 of 19), AWS (7 of 19)
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 Java Developer posted Aug 21
- Mid Level Machine Learning Engineer posted Aug 7
- Mid Level Data Analyst posted Aug 7
- Senior Data Analyst posted Aug 7
- Senior Data Engineer posted Jul 29
- Senior Data Engineer posted Jul 29
- Intermediate Data Analyst posted Jul 28
- Senior Data Analyst posted Jul 21
- Intermediate Data Engineer posted Jan 19
From the team and dates on BEES's own job board.
Salary context
47 other open postings titled Senior Machine Learning Engineer state a salary: median USD 184,700 to USD 250,000 a year.
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