Bain & Company, Inc.

Our India-based Bain AIS COE is a dynamic team dedicated to serving Bain clients globally. Focused on delivering high-end AI/ML engineering solutions, the team specializes in premium services alongside application, data, infrastructure, operations, and security engineering. By developing and maintaining reusable model assets and solution accelerators, the team drives efficiency and innovation. 

Operating within agile delivery pods, the team works on well-defined epics rather than individual tasks, emphasizing solutions with limited need for intense client interaction or travel. With flexibility to align across time zones, team members thrive in a collaborative environment, contributing to transformative projects with a global impact.

WHAT YOU’LL DO

As a Expert Associate Partner, AIS COE Leader in Bain’s Advanced Analytics Group, you will:

• Lead a team of engineers in an India offshore center focused on developing AI and analytics products for clients.
• Over the next year, build a team of approximately 40 engineers, support the hiring of the team and lead the development and operation of the team.
• Support global clients in developing AI and analytics products (~70% focus) and participate in work for global clients.
• Work with general consulting and engineering teams, particularly in North America (~50%+).
• Develop AI and analytics software products for clients, taking on the development of entire products or discrete components.
• Support development at different points of the product lifecycle: Proof of Concept (PoC), Minimum Viable Product (MVP), and launch to production.
• Support Bain’s Industry Practices in developing client solutions and accelerators (~30% focus).
• Lead the team to develop and own select solutions and accelerators for clients.
• Provide maintenance and support to these products as necessary.
• Help sell the capabilities of our offshore engineering capability to clients.
• Where necessary, engage directly with clients to understand requirements, solve problems, and describe solutions.
• Manage an engineering team encompassing a mix of engineering disciplines:

Product management, AI/ML/back-end engineering, Front-end engineering, Data engineering, Infrastructure/QA/operations engineering

• Ensure the team operates across multiple frameworks and technologies to meet client needs.
• Travel is required (30%)

Success Factors:

• Proven ability to hire and develop a team of engineers focused on AI/ML and analytics products.
• Strong leadership skills to guide the team in delivering high-quality solutions within client deadlines.
• Capability to nurture the next generation of engineering leaders in India.
• Proficiency in engaging with clients, promoting Bain’s engineering capabilities, understanding client requirements, and translating them into software products.
• Excellent collaboration skills to work effectively with other Bain teams in India and globally.

ABOUT YOU

• Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Physics, Statistics, Applied Mathematics, etc.
• 12+ years minumim experience in managing engineering Hub's.
• 12+ years of software engineering, analytics development or machine learning engineering experience
• 5+ years of experience managing data scientists and ML engineers
• Strong understanding of fundamental computer science concepts, software design best practices, software development lifecycle and common machine learning design patterns
• Solid understanding of foundational machine learning concepts and algorithms
• Broad experience deploying production-grade machine learning solutions on-premise or in the cloud
• Expert knowledge of Python programming and machine learning frameworks (Scikit-learn, TensorFlow, Keras, PyTorch, etc.)
• Experience implementing ML automation, MLOps (scalable development to deployment of complex data science workflows) and associated tools (e.g. MLflow, Kubeflow)
• •Experience working in accordance with DevSecOps principles, and familiarity with industry deployment best practices using CI/CD tools, MLOps, LLMOps and infrastructure as code (Jenkins, Docker, Kubernetes, and Terraform)
• Deep experience with additional server-side frameworks and technologies such as FastAPI, Node.js, Flask
• Extensive experience with Cloud platforms and services (AWS, Azure, GCP, etc.) and associated machine learning services, e.g. Amazon SageMaker, Azure ML, Databricks
• Understanding of data security and privacy regulations, key topics in cybersecurity, authentication and authorization mechanisms (including cloud IAM)
• Familiarity with Agile software development practices
• Strong interpersonal and communication skills, including the ability to explain and discuss machine learning concepts with colleagues and clients
• Ability to collaborate with people at all levels and with multi-office/region teams
• Ability to work without supervision and juggle priorities to thrive in a fast-paced and ambiguous environment, while also collaborating as part of a team in complex situations