AI/ML Lead

Weekday; Pune District; On-site; INR 1,200,000 - 2,700,000; Full time

Job summary

Weekday is seeking an AI Lead/Manager in Pune to spearhead enterprise AI initiatives. You will define the AI roadmap, establish an AI Centre of Excellence, and build internal capabilities to drive long-term digital transformation.

You will lead AI, Data Science, and Analytics teams, partner with Sales, Marketing, Supply Chain, Finance, HR, and IT, and ensure measurable business outcomes. You will guide solution delivery using ML, NLP, LLMs, RAG, and AI agents, govern data and explainability, and

Qualifications

• 7-10 years of AI/DS or digital transformation experience.
• Proven leadership of AI/ML projects from problem identification to production deployment.
• Expertise in Generative AI, LLMs, NLP, predictive analytics, RAG, and AI agents.
• Proficiency in Python and AI/ML libraries; experience with cloud AI platforms (AWS/Azure/GCP).
• Knowledge of modern data architectures, APIs, vector databases, MLOps, model deployment, and AI monitoring.
• Excellent communication and stakeholder management skills.

Responsibilities

• Develop and execute the enterprise AI and GenAI roadmap aligned with business objectives.
• Lead AI/ML initiatives from ideation to production deployment across functions.
• Partner with business and technology stakeholders to identify opportunities and drive adoption.
• Collaborate with IT and data engineering to design scalable, secure AI solutions.
• Define governance frameworks for data privacy, model risk, security, and explainability.
• Establish and grow the AI Centre of Excellence with reusable frameworks and governance.
• Mentor AI, Data Science, and Analytics teams and manage external partners.
• Track AI performance with KPIs like ROI, productivity, and adoption.
• Present AI strategies and outcomes to senior leadership.

Skills

AI strategy

Team leadership

Cross-functional collaboration

Python

Cloud platforms

Education

Bachelor's/Master's in CS/AI/DS/Engineering

MBA is a plus

Tools

AWS

Azure

GCP

LLMs

Job description

This role is for one of the Weekly's clients

Salary range: Rs 1200000 - Rs 2700000 (ie INR 12-27 LPA)

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.

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.