Anheuser-Busch InBev

4 months ago

Senior Machine Leaning Engineer - Data

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Senior ML Engineer will own end-to-end ML pipelines for BEES AI, shaping ML strategy, architecture, and deployment across data/feature pipelines, model development, and production scaling. You’ll standardize development frameworks, enable observability, and optimize deployments to meet SLAs, collaborating with data, platform, and product teams in a growth-focused AB InBev unit.

Location: Campinas

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•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.

Pay and Benefits

Perks:Health InsuranceLife InsurancePensionMeal AllowanceCommuter BenefitsChildcare SubsidiesLanguage Training

Key Requirements

•Bachelor's degree in computer science, engineering, mathematics, or any quantitative field; 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 are a plus.

Experience:ML/AIData

Education:Bachelor's

Skills:CommunicationProblem-solvingTeamworkAdaptabilityCollaboration

Languages:English

Tech Stack:PythonPySparkSQLJavaRustNodeJSKubernetesDatabricksTerraformAzure DevopsAzure CloudBentoMLKedroSeldonKServeTriton Inference ServerScikit LearnPyTorchTensorFlowONNX

Company Brief

Anheuser-Busch InBev

A global brewer producing, distributing, and marketing beer and other beverages across hundreds of brands, including Budweiser, Stella Artois and Corona. Operates a vast global supply chain and retail network serving consumers worldwide.

Industry: Food & Beverage

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Leuven, Belgium

Founded: 2008

Website LinkedIn

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Anheuser-Busch InBev

4 months ago

Senior Machine Leaning Engineer - Data

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: Campinas

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•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.

Pay and Benefits

Perks:Health InsuranceLife InsurancePensionMeal AllowanceCommuter BenefitsChildcare SubsidiesLanguage Training

Key Requirements

•Bachelor's degree in computer science, engineering, mathematics, or any quantitative field; 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 are a plus.

Experience:ML/AIData

Education:Bachelor's

Skills:CommunicationProblem-solvingTeamworkAdaptabilityCollaboration

Languages:English

Tech Stack:PythonPySparkSQLJavaRustNodeJSKubernetesDatabricksTerraformAzure DevopsAzure CloudBentoMLKedroSeldonKServeTriton Inference ServerScikit LearnPyTorchTensorFlowONNX

Company Brief

Anheuser-Busch InBev

Industry: Food & Beverage

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Leuven, Belgium

Founded: 2008

Website LinkedIn