Associate- AI/ML Engineer(Sustainability)

Bain & Company; New Delhi; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Bain & Company is seeking an AI/ML Associate for the BCN Sustainability CoE in Delhi. You will lead ML workstreams, translate business needs into data-driven AI solutions, and collaborate with cross-functional teams in a fast-paced consulting setting.

You will apply Python, ML frameworks, and GenAI tools to build scalable models, evaluate performance, and drive practical outcomes for sustainability initiatives across internal and client-focused projects.

Qualifications

• Bachelor's or Master’s in a quantitative field with ML/AI focus.
• 2–4 years of relevant experience for Bachelor’s, 1–2 years for Master’s.
• Strong applied ML/AI experience and coursework/projects.
• Experience in consulting could be preferred but not mandatory.

Responsibilities

• Lead discrete ML or GenAI workstreams with high-quality delivery.
• Translate business/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 apps.
• Collaborate with engineers and stakeholders to deliver practical AI solutions.

Skills

Python

ML frameworks

Model evaluation

GenAI/LLM integration

Communication

Sustainability domain knowledge

Data preprocessing

Education

Bachelor's degree in CS/Engineering/Data Science/Statistics or related

Master's degree in related field

Tools

APIs integration

GenAI APIs (OpenAI/Azure)

Job description

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