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As a member of the growing ML Engineering team in Bain’s Advanced Analytics Group, you will:

• Provide technical leadership for end-to-end technical solution delivery on client cases (from solution architecture to hands-on development work)
• 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
• Write, test, deploy and maintain machine learning code across the full software development lifecycle
• Collaborate on (or lead) 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
• Drive best demonstrated practices in software engineering, and share learnings with team members in AAG about theoretical and technical developments in ML engineering

ABOUT YOU: We are looking for someone who has:

• Solid theoretical background on machine learning, and practical experience on building and deploying machine learning models.
• You are practiced at executing all stages of the lifecycle of a Machine Learning model.
• You have experience working with cloud infrastructure and are comfortable with containers.
• You have been hands on over the last few years exploring and using LLMs and other generative AI technologies.
• Strong abilities coding in Python, embracing good code practices and agile development methodologies.
• You can build a service that exposes a ML Learning model to be consumed by other applications.
• 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.
• You have 5 or more years of experience and/or a relevant graduate degree.
• There may be significant travel requirements (up to 30%) due to the international nature of our business.