? We’re Hiring: AI, ML, Analytics & Digitization Lead – Strategic Sourcing | Mahindra & Mahindra Ltd.
? Mumbai | ? Strategic Sourcing | AI | Analytics | Digital Transformation
At Mahindra & Mahindra, we are accelerating our journey towards AI-led procurement transformation — and we’re looking for a dynamic AI & ML Leader to drive this agenda.
This is a high-visibility role at the intersection of business, data, and technology, focused on building next-gen AI platforms for sourcing, supplier intelligence, and decision automation.
? What You’ll Drive
- Define and execute the AI roadmap for Strategic Sourcing
- Build AI copilots & GenAI-powered applications for Sourcing & Procurement teams
- Enable supplier intelligence, spend analytics & cost optimization platforms
- Develop LLM-based solutions (RAG, NLP, semantic search, AI assistants)
- Integrate AI with enterprise systems (SAP, Qlik, 3DX, PLM)
- Lead end-to-end AI product development (Python + React + Cloud)
? What We’re Looking For
- 5–8 years in AI/ML, Analytics or Digital Transformation
- Strong experience in:
- Machine Learning, NLP, Generative AI & LLMs
- LangChain, RAG, Vector DBs, Prompt Engineering
- Hands-on with:
- Python, FastAPI, React, Cloud (Azure/AWS/GCP)
- MLOps, Microservices, API integrations
- Exposure to procurement / manufacturing / supply chain is a strong plus
- Ability to translate business problems into scalable AI solutions
? Why This Role Matters
- Lead enterprise-scale AI transformation in a global automotive leader
- Build cutting-edge GenAI applications for procurement
- Work closely with business leaders, digital teams & global partners
- Create real, measurable business impact at scale
? If you’re passionate about applying AI to solve complex real-world enterprise problems, we’d love to connect.
? Apply / Reach out directly or tag someone who fits!
#Hiring #AI #MachineLearning #GenAI #LLM #DigitalTransformation #Procurement #SupplyChain #Mahindra #Careers #AIJobs
? Role Summary
Mahindra & Mahindra is looking for a high-impact, business-driven AI & ML Lead to spearhead next-generation AI transformation within the Strategic Sourcing & Purchasing domain.
This role will serve as a critical bridge between business and technology, translating procurement, supplier management, and cost optimization needs into scalable AI/ML solutions and enterprise-grade digital applications.
The ideal candidate brings deep expertise across Artificial Intelligence, Machine Learning, Large Language Models (LLMs), and enterprise system integration, along with a strong understanding of procurement and manufacturing ecosystems.
You will play a pivotal role in building AI-powered platforms that enhance:
- Sourcing efficiency
- Supplier intelligence
- Should-costing
- Spend analytics
- Risk management
- Negotiation effectiveness
- Decision automation
? Key Responsibilities
1. AI & ML Strategy for Strategic Sourcing
- Partner with Purchasing, Commodity Teams, Supplier Quality, and Cost Engineering to identify high-impact AI opportunities
- Map and optimize end-to-end procurement processes, including:
- RFQ management
- Supplier evaluation
- Spend analytics
- Cost optimization
- Contract analytics
- Demand forecasting
- Supplier risk monitoring
- Procurement automation
- Define and drive the AI roadmap aligned with enterprise digital strategy
- Develop scalable AI frameworks and reusable components
2. AI/ML Solution Development
- Design, develop, and deploy AI-driven applications for sourcing functions
- Build predictive, prescriptive, and generative AI solutions using enterprise data
- Develop AI copilots and intelligent assistants for procurement teams
- Implement:
- NLP models
- Recommendation systems
- Forecasting models
- Supplier intelligence engines
- Semantic search systems
- Document intelligence solutions
- GenAI workflows
- Deliver AI-powered dashboards and insights platforms
3. LLM & Generative AI
- Architect enterprise-grade LLM and GenAI applications
- Build RAG (Retrieval-Augmented Generation) frameworks using enterprise datasets
- Fine-tune and optimize LLMs for procurement use cases
- Integrate AI copilots into core sourcing workflows
- Establish:
- Prompt engineering frameworks
- AI governance standards
- Evaluate GenAI ecosystems (open-source & commercial)
- Ensure Responsible AI (security, compliance, governance)
4. Enterprise Systems Integration
- Lead integration with enterprise platforms:
- SAP S/4HANA
- Qlik SaaS
- 3DEXPERIENCE (3DX)
- PLM systems
- Supplier portals
- Internal analytics platforms
- Design API-driven architectures and middleware integrations
- Collaborate with IT, Data Engineering, and Cloud teams
- Ensure scalability, security, and reliability
5. Full Stack & Application Development
- Lead development of AI-enabled applications and user interfaces
- Build front-end interfaces using React
- Develop backend AI services using Python
- Implement:
- Microservices architecture
- Cloud-native systems
- DevOps & MLOps practices
6. Stakeholder & Team Leadership
- Engage with cross-functional stakeholders and leadership teams
- Conduct workshops to identify AI/automation opportunities
- Mentor data scientists, AI engineers, and analysts
- Drive vendor evaluations and ecosystem partnerships
? Qualifications
? Education
- Bachelor’s / Master’s degree in:
- Computer Science
- Artificial Intelligence
- Data Science
- Information Technology
- Engineering or related fields
- Preferred:
- MBA (Supply Chain / Analytics / AI)
? Experience
- 5–8 years in AI/ML, analytics, or digital transformation
- Experience in automotive, manufacturing, procurement, or supply chain preferred
- Proven track record in enterprise AI solution delivery
? Technical Skills
AI & ML Expertise
- Advanced proficiency in Python
- Strong capabilities in:
- Machine Learning & Deep Learning
- NLP
- Generative AI & LLM architectures
- Hands-on experience with:
- LangChain
- Vector databases
- RAG pipelines
- Prompt engineering
- AI orchestration frameworks
- ML frameworks:
- TensorFlow
- PyTorch
- Scikit-learn
Enterprise Systems
- Solid exposure to:
- SAP S/4HANA
- Qlik SaaS
- 3DEXPERIENCE (3DX)
- Data lakes & enterprise data platforms
- API & middleware integration
Development & Cloud
- Frontend: React
- Backend/API: FastAPI / Flask
- Architecture: REST APIs, Microservices
- Tools & Platforms:
- Docker, Kubernetes
- CI/CD pipelines
- MLOps platforms
- Cloud (Azure / AWS / GCP)
Data & Analytics
- Strong SQL and data modeling expertise
- Experience with large-scale enterprise datasets
- Dashboarding and analytics platform integration
? Preferred Domain Knowledge
- Automotive sourcing and procurement
- BOM and cost engineering
- Supplier ecosystem management
- Manufacturing digital transformation
- Spend analytics and procurement operations
? Behavioral Competencies
- Strong analytical and problem-solving mindset
- Excellent stakeholder management skills
- Effective communication and executive presentation ability
- Ability to translate business problems into AI solutions
- Innovation-driven with strong execution focus
- Comfortable in fast-paced, cross-functional environments
? Key Deliverables
- Enterprise AI roadmap for sourcing
- Procurement AI copilots and assistants
- Supplier intelligence platforms
- AI-driven dashboards & analytics
- Integrated enterprise AI solutions
- Procurement automation frameworks
- AI governance and scalable architecture standards
? Why Join Mahindra & Mahindra
- Lead large-scale AI transformation in a global automotive leader
- Work on cutting-edge AI, GenAI, and digital innovation initiatives
- Collaborate with strategic sourcing, manufacturing, and technology leaders
- Build high-impact, enterprise-scale AI products
Send in your CV to
[email protected]
📌 AI, ML, Analytics & Digitization Lead – Strategic Sourcing (Mumbai)
🏢 Mahindra and Mahindra Limited [Automotive and Farm Equipment Business]
📍 Mumbai