Senior Machine Learning Engineer | Senior Data Scientist

3 semanas atrás

São Paulo, Brasil Share People Hub Tempo inteiro

Share People Hub in partnership with AB InBev, search for Senior and Specialist Machine Learning Engineer, and Senior Data Scientist for a Hybrid role in Campinas/SP or São Paulo/SP.

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 ABI Growth Group

ABI’s Growth Division is the center of innovation and tech development within ABI, which is driving ABI’s growth by developing innovations for the core beer business and creating new hyper-growth tech businesses. 

ABI Growth includes the following business lines: BEES (our business-to-business e-commerce and SaaS business, also focused on new technologies), TaDa and Ze Delivery (our direct-to-consumer e-commerce businesses), and several other high-tech divisions, including fintech and venture capital.

What a Senior Data Scientist will do:

  • Collaborate with team members to analyze complex datasets, develop and implement cutting-edge machine learning algorithms for portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insights discovery.
  • Stay up to date with the latest advancements in machine learning and deep learning algorithms, ensuring a strong technical foundation to solve complex business problems. Apply frontier algorithms to drive innovation across the team's projects.
  • Utilize cloud platforms like Azure, Databricks, and Spark to efficiently process and analyze large-scale datasets. Leverage the full potential of these platforms to deliver scalable and performant solutions.
  • Utilize Python/PySpark for data manipulation, analysis, and modeling tasks. Implement automation workflows to streamline processes and enhance productivity using tools and frameworks.
  • Collaborate closely with cross-functional teams, including data engineers, business stakeholders, and product managers, to understand project requirements and deliver high-quality solutions. Embrace an agile development approach to iterate quickly and efficiently.

What a Senior Machine Learning Engineer will do:

  • Architect and orchestrate the implementation of BEES Ai's Mission, Vision, and ML Strategy.
  • Own technical end-to-end delivery of ML pipelines from architecture to production scaling.
  • Create a culture of empathy and psychological safety that encourages those you collaborate with to be owners of the solutions you own.
  • Spearhead a diagram-based approach to articulating planned green-field and brown-field development to ensure unambiguous communication of your planned endeavors.
  • Manage product resourcing allocation to meet deadlines. 

What you'll need:

  • Bachelor's degree in computer science, engineering, mathematics, or any quantitative field. A master's degree is a plus. 
  • Strong technical skills and deep understanding of frontier algorithms in machine learning. Familiarity with techniques for portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insights discovery.
  • Proficiency in machine learning frameworks such as TensorFlow or PyTorch. Experience in implementing and deploying models using these frameworks.
  • Experience working with cloud platforms such as Azure, Datadog, Databricks, and Spark.
  • Proficiency in Python/PySpark. 
  • Good knowledge of CI/CD tools like Github for version control and collaboration.

 

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
  • Gympass partnership
  • Childcare subsidies
  • Discounts on Ambev products*
  • Newvalue partnership
  • Scholarship*
  • School materials assurance
  • Language and training platforms
  • Transport allowance

*Rules applied

 

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