Bain & Company

Description & Requirements

Applications must be submitted in English

WHAT MAKES US A GREAT PLACE TO WORK

We are proud to be consistently recognized as one of the world’s best places to work, a champion of diversity and a model of social responsibility. We are currently the #1 ranked consulting firm on Glassdoor’s Best Places to Work list and have maintained a spot in the top four for the last 13 years.

We believe diversity, inclusion, and collaboration are key to building extraordinary teams. We hire people with exceptional talents and potential, and create an environment where you can thrive professionally and personally. We’re recognized by Fortune, Vault, Working Mother, the Human Rights Campaign, and more for being a great place to work for diversity, women, LGBTQ+, and parents.

WHO YOU’LL WORK WITH

You’ll join Bain’s AI, Insights, & Solutions (AIS) team, our global network of experts who blend technical depth with strategic insight to solve transformative challenges. Based in São Paulo, you’ll be part of our growing data innovation hub in South America.

WHERE YOU’LL FIT WITHIN THE TEAM

As a Machine Learning Engineer, you’ll help drive innovation by integrating AI and data-driven solutions into strategy and execution. Whether launching new ventures, reimagining user experiences, or building tech-enabled products, you’ll work at the intersection of analytics and impact—turning bold strategies into breakthrough results.

WHAT YOU’LL DO

• Build and deploy machine learning models in production environments
• Design and implement CI/CD pipelines and monitoring tools
• Collaborate closely with cross-functional teams to deliver scalable, real-world solutions
• Participate in agile experimentation and iterative development
• Share knowledge and coach others on best practices and tools
• Contribute to internal R&D and learning initiatives between projects
• Explore and apply state-of-the-art AI research

ABOUT YOU

Must Have:

• 3+ years of relevant experience or an advanced degree
• Strong theoretical and practical experience in machine learning
• Proficiency in Python and good software engineering practices
• Experience with cloud platforms and containerization
• Familiarity with ML lifecycle, from experimentation to deployment
• Ability to expose ML models as services for integration
• Strong communication skills in English and Portuguese or Spanish
• Comfortable with feedback, collaboration, and autonomy

Nice to Have:

• Experience with R&D or academic research
• Familiarity with multiple languages or tools
• Desire to publish technical content and mentor others

WHAT TO EXPECT WORKING WITH US

At the beginning:

• A warm welcome and full onboarding support
• Initial project with clear scope and team integration
• Assigned buddy and Professional Development (PD) advisor

During your first case:

• Immersive experience working with a real client
• Hands-on delivery and deployment of ML solutions
• Real-time feedback and development discussions

In between cases:

• Time to recharge and reflect
• Opportunities to contribute to R&D and internal knowledge sharing
• Option to write for our engineering blog

During your second case and beyond:

• Exposure to diverse industries and increasing challenge
• Growing technical and leadership responsibilities
• Continued development supported by PD advisor
• Space for pro bono work and passion projects

BENEFITS

• Apple equipment
• 26 weeks of paid parental leave for all parents
• Life and medical insurance
• Supplementary health and dental coverage
• Performance-based annual bonus
• Leave of absence (1–12 months, unpaid)
• Gympass membership
• Headspace app subscription
• Language study subsidies (English, Spanish, Portuguese)

Note: Benefits may vary based on location and are subject to change.

ABOUT US

Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future.

Across 62 cities in 37 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes.

Our 10-year, $1B+ commitment to pro bono work powers organizations addressing education, equity, economic development, and the environment. Since 1973, we’ve measured our success by the success of our clients.