AI/ML Lead

'

: - ( - )

Experience: 7+ yrs

Location: Pune

As the AI Lead / Manager, you will collaborate with cross-functional teams, including Sales, Marketing, Supply Chain, Finance, HR, Customer Service, and IT, to identify business challenges and translate them into scalable AI-driven solutions.

You will be responsible for defining the AI roadmap, establishing an AI Centre of Excellence (CoE), implementing responsible AI practices, and building internal capabilities to support long-term digital transformation. The role also involves leading AI talent, managing technology partners, and ensuring measurable business outcomes through successful AI adoption.

Requirements

Key Responsibilities

• AI Strategy & Roadmap: Develop and execute the enterprise AI and GenAI roadmap aligned with business objectives. Identify high-value use cases, build business cases, and define implementation priorities based on ROI and business impact.
• AI & GenAI Solution Delivery: Lead AI/ML initiatives from ideation and POC to production deployment. Drive solutions using machine learning, predictive analytics, NLP, LLMs, RAG, AI agents, and intelligent automation.
• Business Collaboration: Partner with business and technology stakeholders to identify opportunities, translate business requirements into AI solutions, and drive adoption across functions.
• Solution Architecture & Optimization: Collaborate with IT and data engineering teams to design scalable, secure, and reliable AI solutions. Establish standards for model development, deployment, monitoring, and continuous improvement.
• Data Governance & Responsible AI: Define frameworks for AI governance, data privacy, model risk management, security, explainability, and regulatory compliance.
• AI Centre of Excellence: Establish and strengthen the AI CoE by developing reusable frameworks, best practices, governance mechanisms, and a structured pipeline of AI initiatives.
• Team Leadership: Build, mentor, and lead AI, Data Science, and Analytics teams. Manage external consultants, technology partners, and vendors while evaluating emerging AI platforms and tools.
• Business Impact & Adoption: Track AI performance through measurable KPIs, including ROI, productivity improvements, process efficiency, solution accuracy, user adoption, and POC-to-production conversion.
• Executive Stakeholder Management: Present AI strategies, investment proposals, progress updates, and business outcomes to senior leadership.

What Makes You a Great Fit?

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Statistics, Mathematics, or a related field. An MBA or business-oriented qualification is an added advantage.
• 7-10 years of relevant experience in AI, Machine Learning, Data Science, Advanced Analytics, or Digital Transformation.
• Proven experience leading AI/ML projects from business problem identification through development, deployment, and production scaling.
• Strong expertise in Generative AI, LLMs, NLP, predictive analytics, RAG, and AI agent frameworks.
• Hands-on proficiency in Python and relevant AI/ML libraries, along with experience using cloud AI platforms such as AWS, Azure, or GCP.
• Good understanding of modern data architectures, APIs, vector databases, MLOps, model deployment, and AI monitoring.
• Experience working with cross-functional stakeholders, managing AI teams, and coordinating with external technology partners or consultants.
• Knowledge of AI governance, responsible AI principles, data security, privacy, and model risk management.
• Strong strategic thinking and business acumen, with the ability to translate AI capabilities into measurable business value.
• Excellent communication, stakeholder management, problem-solving, and people leadership skills.
• A proactive, innovation-driven mindset with the ability to move AI initiatives from experimentation to scalable, production-ready solutions and drive enterprise-wide adoption.