L&T Energy AI/ML Engineer Recruitment 2026 | Freshers

L&T Energy AI/ML Engineer Recruitment 2026 | Freshers

Larsen & Toubro (L&T) Energy Offshore has announced its AI/ML Engineer Recruitment 2026, offering an exciting opportunity for fresh graduates and experienced professionals who are passionate about Artificial Intelligence, Machine Learning, Computer Vision, Large Language Models (LLMs), Azure AI Services, and Python Development.

As part of its Digital Engineering & Technology division, L&T Energy Offshore is accelerating digital transformation across engineering, procurement, construction, safety, and compliance by developing intelligent AI-powered solutions. Selected candidates will work on advanced technologies such as Azure OpenAI, Azure AI Foundry, Computer Vision, Video Analytics, Engineering Document Automation, Retrieval-Augmented Generation (RAG), OCR, and autonomous AI systems.

This opportunity is ideal for candidates who want to work on real-world engineering challenges while building AI-driven applications using cutting-edge cloud technologies and modern machine learning frameworks.

Job Overview

• Company: Larsen & Toubro (L&T) Energy Offshore

• Job Role: AI/ML Engineer

• Department: Digital Engineering & Technology

• Job ID: LNT/-E/1691775

• Location: AMN Tower, Powai (L&T Energy Hydrocarbon Offshore)

• Job Type: Full-Time

• Experience Required: Freshers to 2+ Years (Official posting also mentions 1–4 years in the header)

• Educational Qualification: B.E./B.Tech/M.Tech in Computer Science, Artificial Intelligence, or Machine Learning (Mandatory)

• Required Skills: Python, Artificial Intelligence, Machine Learning

• Application Mode: Online

• Application Deadline: 11 January 2027

• Posted On: 15 July 2026

About L&T Energy Offshore

Larsen & Toubro (L&T) is one of India's leading multinational engineering and technology companies, delivering large-scale infrastructure, engineering, construction, manufacturing, and technology solutions across the globe.

The L&T Energy Offshore division specializes in delivering advanced engineering solutions for offshore energy projects. As part of its digital transformation strategy, the organization is adopting Artificial Intelligence, Machine Learning, Computer Vision, and Cloud Technologies to automate engineering workflows, improve operational efficiency, and enhance safety across projects.

Working with L&T Energy Offshore provides an opportunity to contribute to large-scale engineering innovations while learning from experienced professionals and working with modern AI technologies.

Job Description

L&T Energy Offshore is looking for enthusiastic AI/ML Engineers who can develop, deploy, and optimize intelligent AI solutions for engineering applications.

The selected candidates will contribute to projects involving AI-powered chatbots, computer vision systems, engineering document automation, safety monitoring, material take-off (MTO) extraction from engineering drawings, and autonomous AI agents.

Candidates will work with technologies including Azure OpenAI, Azure AI Foundry, PyTorch, TensorFlow, YOLOv8, Detectron2, Azure Cognitive Services, and Python while collaborating with cross-functional engineering teams.

Fresh graduates with strong AI and Machine Learning fundamentals are highly encouraged to apply.

Roles & Responsibilities

Selected candidates will be responsible for:

Azure AI & Chatbot Development

• Build AI-powered chatbots using Azure OpenAI, Azure Bot Service, Prompt Flow, and Cognitive Search.

• Develop conversational AI workflows for engineering and project management teams.

• Integrate chatbots with Microsoft Teams, SharePoint, Azure Logic Apps, and engineering systems.

• Fine-tune Large Language Models (LLMs) using engineering-specific datasets.

Video Analytics & Safety Monitoring

• Develop deep learning models for:

  • PPE Detection

  • Safety Violation Detection

  • Hazard Identification

  • Activity Tracking

• Build computer vision solutions using YOLOv8 and Detectron2.

• Integrate AI video analytics pipelines within the Azure ecosystem.

AI for Engineering Document Processing

• Build AI systems for Material Take-Off (MTO) extraction from P&ID drawings.

• Develop OCR-based document processing using Azure Document Intelligence.

• Create AI workflows for engineering document validation.

• Support graph-based engineering entity mapping and intelligent document analysis.

Engineering Automation

• Develop AI models for engineering drawing analysis.

• Perform compliance validation and metadata reconciliation.

• Build AI-powered engineering audit solutions.

• Contribute to autonomous AI systems supporting EPC workflows.

Eligibility Criteria

Candidates should meet the following requirements:

• B.E., B.Tech, or M.Tech in Computer Science, Artificial Intelligence, or Machine Learning.

• Fresh graduates with strong AI and Machine Learning fundamentals are encouraged to apply.

• Candidates with up to 2+ years of AI/ML experience are also eligible.

• Strong programming skills in Python.

• Good analytical and problem-solving abilities.

• Strong communication and documentation skills.

• Ability to work collaboratively with engineering teams.

Required Technical Skills

Candidates should possess knowledge of:

• Python Programming

• Machine Learning

• Deep Learning

• Artificial Intelligence

• PyTorch

• TensorFlow

• Azure OpenAI

• Azure AI Foundry

• Azure Cognitive Services

• Azure Machine Learning

• Azure Functions

• Azure Logic Apps

• Azure Blob Storage

• Computer Vision

• OpenCV

• YOLOv8

• Detectron2

• OCR Technologies

• Azure Document Intelligence

• Prompt Engineering

• Large Language Models (LLMs)

• Retrieval-Augmented Generation (RAG)

• REST APIs

• SQL

• NoSQL

• DevOps Fundamentals

Preferred Skills

Candidates with knowledge of the following technologies will have an added advantage:

• Azure Databricks

• Engineering Drawing Analysis

• NLP

• Transformer Models

• CNN

• RNN

• Engineering Compliance Validation

• Metadata Extraction

• Engineering Workflow Automation

• AI Agent Development

• Cloud Integration

• Video Processing

• FFmpeg

• Engineering Data Automation

Why Join L&T Energy Offshore?

Joining L&T Energy Offshore offers an opportunity to work on real-world Artificial Intelligence solutions used in large engineering and infrastructure projects.

Some of the benefits include:

• Work on real engineering and safety-critical AI applications.

• Build AI-powered autonomous systems for EPC projects.

• Gain experience with Azure AI, Large Language Models, and Computer Vision.

• Work with cutting-edge cloud technologies.

• Exposure to enterprise-scale AI and Machine Learning projects.

• Collaborate with experienced engineering and AI professionals.

• Opportunity to contribute to India's digital engineering transformation.

• Continuous learning and professional growth.

• Exposure to modern AI frameworks and cloud platforms.

• Long-term career opportunities within one of India's leading engineering organizations.

Selection Process

The recruitment process may include:

• Online Application

• Resume Screening

• Technical Evaluation

• AI/ML Technical Interview

• HR Interview

• Final Selection

• Offer Letter

How to Apply

Interested candidates can apply through the official L&T Careers / PeopleStrong recruitment portal

https://larsentoubrocareers.peoplestrong.com/job/detail/LNT_-E_1691775

Frequently Asked Questions (FAQs)

1. Who can apply for the L&T AI/ML Engineer role?

Fresh graduates with strong AI and Machine Learning fundamentals, as well as candidates with relevant AI/ML experience, can apply.

2. What is the required educational qualification?

Candidates should have a B.E., B.Tech, or M.Tech in Computer Science, Artificial Intelligence, or Machine Learning.

3. What is the job location?

The role is based at AMN Tower, Powai, under L&T Energy Hydrocarbon Offshore.

4. Is Python mandatory for this role?

Yes. Python is one of the mandatory technical skills mentioned in the official job posting.

5. Which AI technologies will candidates work with?

Selected candidates may work with Azure OpenAI, Azure AI Foundry, Azure Cognitive Services, LLMs, Computer Vision, OCR, and Machine Learning frameworks.

6. Are freshers eligible to apply?

Yes. The official job description specifically encourages freshers with strong academic knowledge in AI and Machine Learning to apply.

7. Which Machine Learning frameworks are preferred?

Knowledge of PyTorch and TensorFlow is preferred.

8. What computer vision technologies are mentioned?

The role involves working with YOLOv8, Detectron2, OpenCV, OCR technologies, and video analytics pipelines.

9. What type of projects will selected candidates work on?

Candidates will contribute to AI-powered chatbots, engineering document automation, computer vision systems, video analytics, safety monitoring, Material Take-Off (MTO) extraction, and AI-driven engineering workflows.

10. Why should AI enthusiasts apply for this opportunity?

This role offers hands-on experience with enterprise AI projects, Azure AI services, Large Language Models, Computer Vision, engineering automation, and cloud-based Machine Learning solutions while working with one of India's leading engineering companies.

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Disclaimer

This information is publicly shared to help students and freshers. OkFreshers is not responsible for any outcomes related to applications, interviews, or job offers. Candidates are requested to verify all details, follow the official application process, and apply at their own discretion. All hiring decisions, processes, and status updates are solely managed by the respective hiring companies. No cost is involved in the recruitment process.