If you’re searching for the latest L&T Energy Off Campus Drive, this is one of the best opportunities for fresh graduates and early-career professionals who want to build a career in Artificial Intelligence (AI), Machine Learning (ML), Computer Vision, Azure AI, and Generative AI.
The L&T Energy Off Campus Drive is hiring AI/ML Engineers to work on next-generation digital engineering solutions for large-scale Engineering, Procurement, and Construction (EPC) projects. This role offers the opportunity to develop AI-powered chatbots, intelligent document processing systems, computer vision models, and autonomous AI agents using cutting-edge Microsoft Azure technologies.
Whether you’re a fresher with strong AI fundamentals or an engineer with up to 2 years of experience, the L&T Energy Off Campus Drive provides an excellent platform to work on real-world industrial AI applications that impact safety, engineering, and automation.
L&T Energy Off Campus Drive – Overview
| Details | Information |
|---|---|
| Company | Larsen & Toubro (L&T) Energy Offshore |
| Hiring Program | L&T Energy Off Campus Drive |
| Job Role | AI/ML Engineer |
| Department | Digital Engineering & Technology |
| Job Location | Powai, Mumbai (AMN Tower) |
| Employment Type | Full-Time |
| Experience | Freshers – 2+ Years |
| Qualification | B.E./B.Tech./M.Tech in Computer Science, Artificial Intelligence, or Machine Learning |
| Application End Date | 11 January 2027 |
| Primary Programming Language | Python |
About L&T Energy Off Campus Drive
The L&T Energy Off Campus Drive is designed to recruit talented AI engineers who can contribute to the company’s digital transformation initiatives. Selected candidates will work on advanced AI solutions across engineering, procurement, safety monitoring, construction automation, and intelligent document processing.
As an AI/ML Engineer through the L&T Energy Off Campus Drive, you’ll collaborate with engineering teams to build production-grade AI applications using Azure OpenAI, Large Language Models (LLMs), Computer Vision, OCR, Deep Learning, and Retrieval-Augmented Generation (RAG) technologies.
This opportunity is ideal for candidates passionate about applying AI to solve real industrial challenges.
L&T Energy Off Campus Drive Job Responsibilities
As an AI/ML Engineer, your key responsibilities may include:
Azure AI & Chatbot Development
- Build AI-powered chatbots using Azure OpenAI.
- Develop conversational AI workflows.
- Integrate chatbots with Microsoft Teams and SharePoint.
- Fine-tune Large Language Models (LLMs).
- Develop Prompt Flow pipelines.
- Implement Azure Cognitive Search.
Computer Vision & Video Analytics
- Build PPE detection models.
- Develop site safety monitoring systems.
- Detect workplace hazards.
- Implement object detection models using YOLOv8.
- Build anomaly detection pipelines.
- Develop video analytics solutions.
AI for Engineering Documents
- Automate Material Take-Off (MTO) extraction.
- Process engineering drawings.
- Build OCR-based document automation.
- Validate engineering documents using AI.
- Develop intelligent document understanding systems.
AI Agent Development
- Build autonomous AI agents.
- Implement Retrieval-Augmented Generation (RAG).
- Fine-tune engineering-specific LLMs.
- Develop workflow automation.
Engineering Automation
- Analyze engineering drawings.
- Perform compliance validation.
- Build AI-powered audit systems.
- Automate engineering workflows.
Required Skills for L&T Energy Off Campus Drive
Candidates applying through the L&T Energy Off Campus Drive should have knowledge of:
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Python
- Data Structures
- Algorithms
- Neural Networks
- Problem Solving
- Analytical Thinking
- Communication Skills
Strong programming fundamentals and AI concepts are essential.
Educational Qualification
To apply for the L&T Energy Off Campus Drive, candidates should have:
- B.E.
- B.Tech.
- M.Tech.
- Computer Science
- Artificial Intelligence
- Machine Learning
Candidates from AI/ML specializations are strongly preferred.
Who Should Apply?
The L&T Energy Off Campus Drive is ideal for candidates who:
- Recently completed graduation.
- Have a strong foundation in AI and ML.
- Enjoy solving complex engineering problems.
- Have practical Python programming skills.
- Are interested in Generative AI and LLMs.
- Have completed AI-related academic or personal projects.
- Can work collaboratively with engineering teams.
- Are eager to learn Azure AI technologies.
Technical Skills That Will Help You Get Selected
Recruiters generally prefer candidates with knowledge of:
- Python
- Machine Learning
- Deep Learning
- TensorFlow
- PyTorch
- OpenCV
- YOLOv8
- Azure OpenAI
- Azure AI Foundry
- Azure Machine Learning
- RAG
- Prompt Engineering
- LLM Fine-Tuning
- SQL
- REST APIs
- Git
- Docker
Building AI applications and maintaining an active GitHub portfolio can greatly improve your profile.
Recommended Certifications
To strengthen your application for the L&T Energy Off Campus Drive, consider certifications such as:
- Microsoft Azure AI Engineer Associate (AI-102)
- Microsoft Azure Fundamentals (AZ-900)
- Microsoft Azure AI Fundamentals (AI-900)
- AWS Certified Machine Learning – Specialty (optional)
- TensorFlow Developer Certificate
- Google Machine Learning Crash Course
- DeepLearning.AI Generative AI Courses
- Python Programming Certification
Why Choose L&T Energy Off Campus Drive?
Joining through the L&T Energy Off Campus Drive offers several career advantages:
- Work on real industrial AI applications.
- Build enterprise-grade AI systems.
- Gain experience with Azure AI technologies.
- Develop expertise in Generative AI and LLMs.
- Learn Computer Vision for industrial safety.
- Work with experienced engineering professionals.
- Exposure to large-scale EPC digital transformation projects.
- Excellent long-term career growth in AI and Data Science.
Expected Salary
Although L&T has not officially disclosed the salary, the estimated compensation for candidates selected through the L&T Energy Off Campus Drive is:
| Experience | Expected Salary |
|---|---|
| Freshers | ₹6 LPA – ₹10 LPA |
| 1–2 Years | ₹10 LPA – ₹16 LPA |
| 3–5 Years | ₹16 LPA – ₹25 LPA |
The above salary figures are estimates based on similar AI/ML Engineer roles in large engineering and technology organizations.
Career Growth After Joining
Candidates selected through the L&T Energy Off Campus Drive can progress into roles such as:
- AI Engineer
- Machine Learning Engineer
- Computer Vision Engineer
- NLP Engineer
- Data Scientist
- Generative AI Engineer
- Azure AI Engineer
- MLOps Engineer
- AI Solutions Architect
- Technical Lead – AI
Interview Preparation Tips
To improve your chances of getting selected for the L&T Energy Off Campus Drive:
- Master Python programming.
- Revise machine learning algorithms.
- Learn deep learning fundamentals.
- Practice computer vision projects.
- Build Generative AI applications.
- Understand Azure AI services.
- Practice SQL queries.
- Learn Prompt Engineering.
- Build a strong GitHub portfolio.
- Prepare AI and HR interview questions.
Why This L&T Energy Off Campus Drive Opportunity Stands Out
The L&T Energy Off Campus Drive provides a unique opportunity to work on AI solutions that solve real engineering and industrial challenges. From developing AI-powered chatbots and intelligent document processing systems to deploying computer vision models for workplace safety, you’ll gain experience with technologies that are transforming the future of engineering.
Working with Microsoft’s Azure AI ecosystem, advanced Large Language Models, and industrial AI applications makes this one of the most exciting opportunities for aspiring AI engineers.
Final Words
If you’re passionate about Artificial Intelligence, Machine Learning, Computer Vision, and Generative AI, the L&T Energy Off Campus Drive is an excellent opportunity to launch or accelerate your career. You’ll gain practical experience with enterprise AI solutions, work on high-impact engineering projects, and collaborate with experts in one of India’s leading engineering organizations.
As industries rapidly adopt AI-driven automation and intelligent systems, professionals hired through the L&T Energy Off Campus Drive will be well-positioned for long-term success in the evolving AI landscape.
