L&T Energy Offshore Careers 2026: L&T Energy Offshore is inviting applications for the AI/ML Engineer role under its Digital Engineering & Technology division. This is an exciting opportunity for fresh graduates and professionals with up to 2+ years of experience who are passionate about Artificial Intelligence, Machine Learning, Computer Vision, Large Language Models (LLMs), and Azure AI Services.
As an AI/ML Engineer, you will develop intelligent solutions including AI chatbots, computer vision systems, engineering document automation tools, and generative AI applications that support large-scale engineering and EPC projects.
L&T Energy Offshore AI/ML Engineer – Job Details
| Company | L&T Energy Offshore |
|---|---|
| Role | AI/ML Engineer |
| Department | Digital Engineering & Technology |
| Job Type | Full-Time |
| Location | Mumbai |
| Qualification | B.E./B.Tech/M.Tech (Computer Science / AI / ML) |
| Experience | Freshers & 1–4 Years |
| Salary | ₹8–15 LPA (Expected) |
| Last Date to Apply | 11 January 2027 |
About L&T Energy Offshore
L&T Energy Offshore is one of India’s leading engineering and EPC organizations, delivering complex offshore and energy infrastructure projects worldwide. The company is rapidly adopting Artificial Intelligence, Machine Learning, Computer Vision, and Generative AI to automate engineering workflows, improve safety, and accelerate digital transformation across its global operations.
AI/ML Engineer – Role Overview
As an AI/ML Engineer, you will design, build, and deploy AI-powered applications for engineering, safety monitoring, document automation, and intelligent business workflows. You’ll work with modern technologies including Azure OpenAI, Azure AI Foundry, Python, PyTorch, TensorFlow, YOLOv8, OpenCV, and Large Language Models (LLMs) to solve real-world engineering challenges.
Responsibilities
- Develop AI-powered chatbots using Azure OpenAI and Azure Bot Service.
- Build conversational AI solutions for engineering and business teams.
- Design and deploy computer vision models for PPE detection, safety monitoring, and video analytics.
- Develop AI systems for automated P&ID processing and Material Take-Off (MTO) extraction.
- Build document automation solutions using OCR and Azure Document Intelligence.
- Develop Retrieval-Augmented Generation (RAG) and LLM-based applications.
- Fine-tune AI models using engineering datasets.
- Integrate AI solutions with Azure Functions, Logic Apps, and enterprise applications.
- Collaborate with engineering teams to automate EPC workflows.
- Optimize AI models for scalability, accuracy, and production deployment.
Required Skills
- Python
- Machine Learning
- Deep Learning
- PyTorch
- TensorFlow
- Azure OpenAI
- Azure AI Foundry
- Prompt Engineering
- Computer Vision
- OpenCV
- YOLOv8
- Detectron2
- NLP
- Large Language Models (LLMs)
- RAG (Retrieval-Augmented Generation)
- SQL / NoSQL
- Azure Functions
- Azure Cognitive Services
Eligibility Criteria
- B.E./B.Tech/M.Tech in:
- Computer Science
- Artificial Intelligence
- Machine Learning
- Freshers with strong AI/ML fundamentals are encouraged to apply.
- Candidates with 1–4 years of relevant AI/ML experience are also eligible.
- Strong programming skills in Python.
- Knowledge of Machine Learning, Deep Learning, and Generative AI.
- Good analytical, communication, and problem-solving skills.
Salary
Selected candidates can expect an estimated annual salary package of ₹8–15 LPA, based on technical skills, experience, interview performance, and business requirements.
Selection Process
- Resume Screening
- Online Technical Assessment (if applicable)
- Technical Interview
- Managerial Interview
- HR Interview
- Final Selection
How to Apply for L&T Energy Offshore Careers 2026
Interested candidates should prepare an updated resume highlighting their AI/ML projects, internships, GitHub profile, Kaggle contributions, certifications, research work, and technical skills. Candidates can submit their application along with relevant project portfolios through the official recruitment process before the application deadline.
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