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 Machine Learning and Data Science 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. We are committed to building a diverse and inclusive team and encourage candidates of all backgrounds to apply. Bain offers comprehensive benefits and flexible policies that are designed to support you, so you can thrive personally and professionally.
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
- Work with general consulting teams to understand and advise on ML aspects of business problems, and appropriately prioritize and execute
- Develop statistical/ML models to be handed over to clients as prototype or production software
- Transform existing prototype code into scalable, production-grade software
- Design and implement CI/CD pipelines and monitoring tools. Write, test, deploy and maintain machine learning code across the full software development lifecycle.
- Collaborate on the development of re-usable common frameworks, model and components that can be highly leveraged to address common ML engineering problems across industries and business functions
- 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
Drive best demonstrated practices in software engineering, and share learnings
with team members in AIS about theoretical and technical developments in ML engineering
ABOUT YOU
Must Have:
- 3-5 years of relevant experience or an advanced degree
- Strong theoretical and practical experience in machine learning
- Proficiency in Python, ability to expose ML models as services for integration
- Experience with cloud platforms and containerization
- Familiarity with ML lifecycle and MLOps, from experimentation to deployment
- Comfortable with feedback, collaboration, and autonomy
- You are learning oriented, like to explore new tools and languages, and love teaching others and sharing good practices.
- You like being versatile and are willing to flex and learn new skills when necessary to truly deliver value for our clients.
- There may be significant travel requirements (up to 30%) due to the international nature of our business
- Role based in Tokyo (Hybrid working model). Strong communication skills in Japanese
Nice to Have:
- Experience with R&D or academic research
- Desire to publish technical content and mentor others
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