Ai/ml Engineer

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