# AI/ML Lead

> Weekday AI · Pune, India · Full-time · Posted 2026-10-21

**Salary:** INR 1,200,000–2,700,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'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.

## 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.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/956FE357EC/apply)

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