Associate- AI/ML Engineer(Sustainability)

Company Overview Bain & Company is a global consultancy that helps the worlds 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 worlds best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoors Best Places to Work list, and we have maintained a spot in the top four on Glassdoors 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 * Bachelors degree with approximately 2-4 years of relevant experience, or Masters 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 Co