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. 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 on Glassdoor’s list since its founding in 2009. Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.
WHO YOU’LL WORK WITH
You’ll join our Data Science & Machine Learning Engineering experts within the AI, Insights & Solutions team. This team is part of Bain’s digital capabilities practice, which includes experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise with business acumen to help clients tackle their most transformative challenges. You’ll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.
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.