Senior Machine Learning Engineer

Overview

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 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

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What to expect working with us

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During your second case and beyond :

Benefits

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