AI/ML Engineer

Job description

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. .pdf) 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.