Larsen & Toubro

AI/ML Engineer

Larsen & Toubro

IndiaPosted about 1 month ago
full time
Onsite
Salary
Not disclosed
Posted: July 22, 2026
|
Source: external

Required Skills

Python
SQL
Deep Learning
NLP
Computer Vision
TensorFlow
PyTorch
Azure
Data Science
LLM

About This Role

**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** * 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. * 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). * 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. * pdf) * 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. Note: This is a third party job (Aggregated by careeruplift.ai). Shortlisting and Final hiring decision & process is handled by the company.

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