AI/ML Engineer

LNT/-E/1691775

HYOF-L&T Energy Hydrocarbon - Offshore

AMN Tower, Powai

Posted On 15 Jul 2026

End Date 11 Jan 2027

Required Experience1 - 4 years

Skills

Knowledge & Posting Location

Python Computer Science in Artificial Intelligence or Machine Learning

Minimum Qualification

General Diploma

Job Description

Job Description – AI/ML Engineer (Freshers / 2+ Years Experience)

Department: Digital Engineering & Technology

Location: L&T Energy Offshore – AMTP

Role Type: Full-time

Experience: 0–2+ years

Educational Background: B.E./B.Tech/M.Tech in Computer Science / AI / ML (Mandatory)

About the Role

L&T Energy Offshore is accelerating its digital transformation by deploying advanced AI/ML solutions across Engineering, Procurement, Construction, Safety, and Compliance. We are looking for an enthusiastic AI/ML Engineer who can build, deploy, and optimize intelligent systems such as chatbots, video analytics pipelines, and engineering document automation tools (including MTO extraction from P&IDs).

This role is ideal for freshers with strong AI fundamentals or engineers with up to 2+ years experience in AI/ML, data science, or Azure AI services.

Key Responsibilities

1. Azure AI & Chatbot Development

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

Develop conversational workflows for engineering, operations, and project management teams.

Integrate chatbots with Teams, SharePoint, Azure Logic Apps, and engineering data for internal use cases.

Fine-tune LLMs (GPT?4/40, Phi?3, etc.) using domain-specific datasets for engineering and EPC tasks.

2. Video Analytics for Safety & Operational Monitoring

Develop and deploy deep learning–based video analytics models for:

PPE detection

Safety violations

Site hazard identification

Activity tracking

Implement vision models (YOLOv8/Detectron2) for object detection, tracking, and anomaly detection.

Integrate video pipelines into the Azure ecosystem (Blob Functions AI Models Dashboards).

3. AI/ML for P&ID Processing & MTO Extraction

Build systems for automatic extraction of MTO (Material Take-Off)from P&IDs using:

Computer vision

OCR (Azure Document Intelligence / Form Recognizer)

Graph-based engineering entity mapping

NLP & LLM-based reasoning for engineering validation

Contribute to AI agent workflows for cross-verifying P&IDs, 3D models, line lists, and engineering documents.

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4. Engineering Document Automation (EPC Use Cases)

Build models for drawing analysis, tolerance checks, metadata reconciliation, and compliance validation.

Work with Azure AI Foundry to fine-tune models for Engineering Drawing Audit Automation.

Support development of autonomous/agentic AI systems for EPC workflows.

Technical Skills Required

AI/ML Fundamentals (Mandatory)

Strong understanding of ML algorithms, deep learning, transformers, CNNs, RNNs.

Experience with Python, PyTorch/TensorFlow.

Knowledge of prompt engineering, embeddings, LLM behavior.

Azure Ecosystem Skills

Azure OpenAI / Azure AI Foundry

Azure Cognitive Services (Vision, Document Intelligence, Search)

Azure ML, Azure Functions, Logic Apps

Azure Blob Storage, Azure Databricks (added advantage)

Computer Vision Skills

YOLOv8, Detectron2, OpenCV

OCR engines – Azure OCR / Form Recognizer

Video processing with Python/FFmpeg

NLP & Document AI

LLM fine-tuning

RAG (Retrieval Augmented Generation)

Metadata extraction and reconciliation

Clause extraction, compliance validation (added advantage)

Software Skills

Python is mandatory

Good understanding of DevOps, APIs and integration workflows

Basic knowledge of SQL/NoSQL

Soft Skills

Problem-solving mindset with strong analytical thinking

Ability to understand complex engineering workflows

Good communication and documentation skills

Ability to work with cross-functional engineering teams

Eligibility

Freshers with strong academic grounding in AI/ML are highly encouraged

Experienced engineers (2+ years) in AI/ML roles are welcome

Must come from Computer Science or AI/ML specialization

Why Join L&T Energy Offshore?

Work on real?world engineering challenges and safety-critical applications

Build AI agents and autonomous systems for large-scale EPC projects

Opportunity to work with cutting-edge Azure technologies and LLMs

Contribute to the digital transformation of India’s leading engineering giant

How to Apply

Share your updated CV and supporting project/portfolio links with the Digital Engineering & Technology team.