Mid Level Machine Learning Engineer

Anheuser-Busch InBev
Campinas
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Collaboration","Communication","Problem-solving","Documentation"]

Build and extend ML platform capabilities for training and inference, supporting both batch and online serving. Own key components of the ML model development workflow—experimentation, versioning, and reproducibility—to improve reuse across teams. Implement observability for model performance, quality, and drift, and help optimize deployments to meet cost, quality, and SLA targets. Troubleshoot pipeline and serving issues and share learnings across the group.

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Anheuser-Busch InBev
Anheuser-Busch InBev
1 month ago

Mid Level Machine Learning Engineer

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Last checked: 20 minutes agoStatus: Live

Job Summary

Build and extend ML platform capabilities for training and inference, supporting both batch and online serving. Own key components of the ML model development workflow—experimentation, versioning, and reproducibility—to improve reuse across teams. Implement observability for model performance, quality, and drift, and help optimize deployments to meet cost, quality, and SLA targets. Troubleshoot pipeline and serving issues and share learnings across the group.
Location: Campinas
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Implement and extend ML platform capabilities for training jobs and inference services, covering batch and online serving.
  • •Develop and maintain components of the ML model development workflow, including experimentation, versioning, and reproducibility.
  • •Build and operate observability for models in training and production, including monitoring, logging, and alerting for performance, quality, and drift.
  • •Support optimized model deployments by scaling, tuning inference, and allocating resources to meet cost, quality, and SLA targets.
  • •Troubleshoot pipeline and serving issues, document solutions, and share learnings with the team.

Pay and Benefits

Perks:Health InsuranceDentalLife InsuranceMeal AllowanceCommuter Benefits

Key Requirements

  • •Bachelor’s degree in computer science, engineering, mathematics, or another quantitative field.
  • •Practical experience with ML platform components such as feature pipelines, model registries, and training/inference workflows.
  • •Strong software engineering fundamentals including clean code, testing, CI/CD, and maintainable system design.
  • •Hands-on experience with Python, PySpark, and SQL (Java exposure is a plus).
  • •Experience with Kubernetes, Databricks, Terraform, Azure DevOps (Git), Azure Cloud, and ML frameworks/libraries such as Scikit-learn, PyTorch, TensorFlow, and ONNX, plus model-serving tools (e.g., BentoML, Kedro, Seldon, KServe, Triton).
Education:Bachelor's
Skills:CollaborationCommunicationProblem-solvingDocumentation
Languages:English
Tech Stack:PythonPySparkSQLJavaKubernetesDatabricksTerraformAzure DevOpsAzure CloudScikit-learnPyTorchTensorFlowONNXBentoMLKedroSeldonKServeTriton Inference ServerCI/CD

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
WebsiteLinkedIn