Larsen & Toubro is hiring AI/ML Engineers to build, deploy and optimize intelligent systems — chatbots, video-analytics pipelines and engineering-document automation (including MTO extraction from P&IDs) — and support autonomous/agentic AI for EPC workflows.
Disclaimer: This is a third-party opening shared for informational purposes. Cloud Soft Solutions is not the hiring employer; verify all details (eligibility, compensation, job IDs) on the official portal or with the employer before applying.
Role Overview
Location: Mumbai Metropolitan Region
Type: AI/ML Engineer (freshers / 2+ years)
Experience: Freshers with strong AI fundamentals; also up to 2+ years
Package / Stipend: As per L&T norms (confirm on the listing)
Key Highlights
- Develop models for drawing analysis, tolerance checks, metadata reconciliation and compliance validation
- Work with Azure AI Foundry for fine-tuning
- Support agentic AI systems for engineering workflows
- Collaborate with cross-functional engineering teams
Eligibility
- Freshers with strong academic grounding in AI/ML, or 2+ years in AI/ML/data science/Azure AI
- Python and ML fundamentals
- Good communication and documentation
- Interest in industrial/EPC AI use cases
How to Apply
Apply via the official L&T careers page or the LinkedIn job posting for the AI/ML Engineer role.
Pro tips: tailor your resume with JD keywords (Python, LLMs, RAG, LangChain, agents), attach a GitHub/portfolio with 2–3 AI projects, and apply early — agentic-AI roles fill fast.
How to Prepare for This Role
Strengthen AI/ML fundamentals and Azure AI basics with our AI & ML interview questions.
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Frequently Asked Questions
Can freshers apply for the L&T AI/ML Engineer role?
Yes — freshers with strong academic grounding in AI/ML are highly encouraged, and the role is also open to engineers with 2+ years in AI/ML, data science or Azure AI services. Python and ML fundamentals plus good documentation are expected.
What does the L&T AI/ML Engineer role involve?
Building chatbots, video-analytics pipelines and engineering-document automation (including MTO extraction from P&IDs), fine-tuning with Azure AI Foundry, and supporting agentic AI for EPC engineering workflows.