Lead Machine Learning Engineer

Bain & Company; Gurugram District; Hybrid; INR 4,500,000 - 7,500,000; Full time

Job summary

Bain & Company, Inc. is seeking a Lead Machine Learning Engineer to drive AI and data-driven strategies within the Applied Tech & AI team. You will design production-grade ML systems, deploy AI solutions, and mentor colleagues, enabling enterprise-scale transformation across industries.

You will collaborate with cross-functional teams and clients, traveling regionally as needed to deliver impact. A strong ML background and hands-on Python experience are essential.

Qualifications

• 5+ years of relevant experience or an advanced degree.
• Proficiency in Python and ML lifecycle.
• Experience with data wrangling, data analysis and modeling using python, sql, pyspark or similar tools
• Experience with cloud platforms and deploying ML/AI applications.
• Productionizing ML models using FastAPI/Flask or similar frameworks.
• Excellent communicator and collaborator with stakeholders.
• Location: New Delhi, Bengaluru, Mumbai (Hybrid); regional travel required.

Responsibilities

• Design, build, and deliver statistical/ML models and agentic AI/LLM solutions to solve high-impact client problems.
• Architect and implement production-grade ML systems with enterprise-grade services and CI/CD for deployment and monitoring.
• Partner with consulting teams and client stakeholders to translate business problems into ML solutions.
• Continuously research emerging AI frameworks and convert learnings into reusable components.
• Share knowledge and mentor teammates on best practices in ML and AI engineering.
• Contribute to internal R&D and learning initiatives to advance AI capabilities.

Skills

ML expertise

Communication

Mentoring

Team collaboration

Autonomy

Adaptability

Tools

Python

SQL

PySpark

FastAPI/Flask

CI/CD

AWS/GCP/Azure

Job description

Job Description:

Application submission deadline 26 November

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 top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times. 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 Applied Tech & AI 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 Lead 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.

Bain offers comprehensive benefits and flexible policies that are designed to support you, so you can thrive personally and professionally.

WHAT YOU’LL DO

• Design, build, and deliver statistical/ML models and agentic AI/LLM solutions to solve high-impact client problems.
• Architect and implement production-grade ML systems by building enterprise-grade services, applying MLOps and CI/CD for reliable deployment and monitoring, and ensuring high standards in engineering quality and documentation.
• Partner with general consulting teams and client stakeholders to translate business problems into ML solutions, prioritize work, and enable enterprise-scale AI transformation.
• Continuously research emerging frameworks and state-of-the-art AI (e.g., LLMs, agents, retrieval, post-training, etc.) and convert learnings into reusable frameworks, components, and accelerators used across industries and functions.
• Share knowledge and mentor others on best practices tools, and approaches in applied machine learning and AI engineering.
• Contribute to internal R&D and learning initiatives to advance Bain’s AI capabilities and foster continuous innovation between projects.

ABOUT YOU

Must Have:

• 5+ years of relevant experience or an advanced degree
• Strong theoretical and practical experience in machine learning
• Proficiency in Python, with solid software engineering foundations - including clean code practices, testing, version control.
• Experience with data wrangling, data analysis and modeling using python, sql, pyspark or similar tools
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and deploying ML/AI applications.
• Comprehensive understanding of the ML lifecycle, from experimentation and model development to deployment.
• Experience productionizing and exposing ML models (e.g., using FastAPI, Flask, or similar frameworks) for seamless integration into applications and platforms.
• Excellent communicator and collaborator, able to align with technical and business stakeholders in a fast-paced, cross-functional environment.
• Curious and growth-oriented, passionate about exploring new tools, mentoring peers, and sharing best practices.
• Adaptable and self-driven, comfortable operating with autonomy, embracing feedback, and learning new skills to deliver client impact.
• Location: New Delhi, Bengaluru, Mumbai (Hybrid)
• Travel is required. This position requires regional travel away from your home office/primary working location.
• Travel frequency and destinations will vary based on project needs.

Nice to Have:

• Experience with R&D or academic research
• Interest in publishing technical content and mentoring others