Senior Machine Learning Engineer - AI, Insights & Solutions
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.