Principal Machine Learning Engineer

Campinas, Brazil

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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

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.

As our Principal Machine Learning Engineer, you'll play a pivotal role in shaping the future of our DTC global operations. You'll lead a talented team of ML professionals, helping to hire and mentor them, and design and build a state-of-the-art ML platform in Azure using Databricks.

What you'll do:

  • Key Responsibilities:

    • Capability Strategy: Design and deliver a roadmap of ML Ops evolution using Azure Databricks as the central component. Lead and work in collaboration with Data Science teams to adopt ML Ops as part of their development and productization process.
    • Platform Development: Support current legacy ML models deployed in AWS legacy solution, and in parallel lead the design and transition to a new ML Ops platform using Azure Databricks as the central component.
    • Technical Leadership: Guide and influence other ML engineers and data scientists on best practices, frameworks, and other technical directives.
  • Be part of a cross-functional team, directly contributing to feature development and maintenance of a global product;
  • Be constantly challenged to create world-class solutions.

 

What you'll need:

  • University degree in courses related to computing such as Computer Engineering, Computer Science, Information Systems, and Systems Analysis and Development;
  • Solid fundamentals in object-oriented design, data structures, algorithms and problem solving;
  • Proven experience in ML Ops, using python, Spark, Scala or other ML frameworks in any field or industry.
  • Experience with productization of real time ML models.
  • Excellent problem-solving skills and a passion for innovation.
  • Desired experience with ML in AWS, including: route53, ssm, kinesis firehouse, cloudwatch and ECR, EC2;
  • Strong expertise in Azure Databricks capabilities for Machine Learning.
  • Leadership experience, with the ability to hire, mentor, and career desire to evolve as a technical team manager.
  • Excellent English skills for communication and writing.

 

More about you:

  • You´re passionate about software development and knows how to ensure its quality;
  • You´re motivated by building up world class solutions that impacts millions of users all over the world;
  • Experienced working in an environment which uses and stimulates DevOps culture;
  • 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.

 

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:

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 

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Azure Computer Science Databricks DevOps EC2 Engineering Kinesis Machine Learning ML models Python Scala Spark

Perks/benefits: Career development Health care Insurance

Region: South America
Country: Brazil

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