Company Overview

Bain & Company is a global consultancy that helps the world's most ambitious change-makers define the future. Across 65 cities in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.

We are consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor's Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 13 years. We believe that diversity, inclusion, and collaboration is key to building extraordinary teams.

In 2004, Bain & Company opened the Bain Capability Network office in Gurgaon, to provide the best-in-class internal support, efficiently and professionally, to both leadership and consulting teams in Bain offices across the region and globe.

Who You Will Work With

The AI/ML Associate in BCN Sustainability CoE plays a critical role in delivering high-impact AI and ML-driven solutions across internal tools and strategic initiatives. The role involves leading discrete ML workstreams and proof-of-concept (POC) initiatives, supporting complex digital builds under the guidance of senior team members, and delivering rigorous, data-driven outputs.
The Associate may be staffed across diverse digital initiatives including ML model development, GenAI integration, workflow automation, experimentation frameworks, and AI-enabled product features. The Associate applies strong technical and analytical skills to translate structured problem statements into scalable AI solutions.
The role requires a strong technical foundation, comfort working with structured and unstructured data, and the ability to operationalize ML/GenAI models in practical applications.

What You'll do

AI / ML Development & Analysis
Lead discrete ML or GenAI workstreams, ensuring high-quality technical delivery
Translate business or product requirements into ML-driven analytical solutions
Perform data preprocessing, feature engineering, and model experimentation
Develop, train, evaluate, and refine ML models for POCs and internal applications
Identify risks, technical trade-offs, and performance limitations early and propose alternative approaches

GenAI & Model Integration

Apply best prompt engineering techniques as per the use case(e.g., structured prompting, few-shot prompting, system prompts, response constraints)
Integrate GenAI APIs (e.g., OpenAI, Azure OpenAI, or similar LLM services) into applications and workflows
Combine LLM outputs with structured logic, APIs, and backend services
Evaluate model outputs for reliability, bias, and usability, iterating to improve performance

Technical & Automation Capabilities

Build and maintain scalable ML pipelines and experimentation frameworks
Support API-based deployment and integration of AI models into digital tools
Leverage coding and automation tools (e.g., Python) to streamline workflows
Explore emerging AI capabilities to improve efficiency and innovation across projects

Collaboration & Teaming

Collaborate closely with engineers, designers, and business stakeholders in a fast-paced environment
Support larger digital initiatives under senior guidance while independently managing defined workstreams
Communicate technical findings clearly to non-technical stakeholders

About You

Bachelor's degree with approximately 2-4 years of relevant experience, or Master's degree with 1-2 years of experience
Educational background in Computer Science, Engineering, Data Science, Statistics, or related quantitative field
Strong applied academic or project-based ML/AI
Prior experience of working with consulting firms will be preferred (but not mandatory)

Skills & Expertise

Strong proficiency in Python
Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn, or similar)
Solid understanding of model evaluation, experimentation, and data preprocessing
Working knowledge of GenAI tools and LLM integration
Strong problem-solving skills and ability to synthesize technical findings into practical insights
Ability to understand business and sector language/ specifics and integrate that into day-to-day working
Excellent communication and collaboration skills, with the ability to operate effectively in dynamic, team-based consulting environments
Sharp business acumen – ability to make sound decisions, recognize market/ sector knowledge of sustainability, operational understanding of consulting companies

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, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor's Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.

Associate- AI/ML Engineer(Sustainability)