AI/ML Engineer

About the role

L&T Energy Offshore is hiring AI/ML Engineers to support digital transformation across Engineering, Procurement, Construction, Safety, and Compliance. The role involves building and deploying AI/ML so… Subscribe to Premium to view the full description and apply.

Responsibilities

• 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 AI chatbots with Teams, SharePoint, Azure Logic Apps, and engineering data.
• Fine-tune LLMs using domain-specific datasets for engineering and EPC tasks.
• Develop and deploy deep learning-based video analytics models for PPE detection, safety violations, site hazard identification, and activity tracking.
• Implement vision models such as YOLOv8 and Detectron2 for object detection, tracking, and anomaly detection.
• Integrate video analytics pipelines with Azure services including Blob Storage, Functions, AI models, and dashboards.
• Build systems for automatic MTO extraction from P&IDs using computer vision, OCR, graph-based entity mapping, NLP, and LLM reasoning.
• Develop AI agent workflows for cross-verifying P&IDs, 3D models, line lists, and engineering documents.
• Build models for engineering drawing analysis, tolerance checks, metadata reconciliation, and compliance validation.
• Work with Azure AI Foundry to fine-tune models for engineering drawing audit automation.
• Support the development of autonomous and agentic AI systems for EPC workflows.
• Develop and optimize intelligent systems for real-world engineering applications.
• Work with cross-functional engineering teams on AI/ML solutions and integrations.

Requirements

• B.E./B.Tech/M.Tech in Computer Science, Artificial Intelligence, Machine Learning, or a related specialization.
• Strong understanding of machine learning algorithms and deep learning.
• Strong understanding of transformers, CNNs, and RNNs.
• Strong Python programming skills.
• Experience with PyTorch or TensorFlow.
• Knowledge of prompt engineering, embeddings, and LLM behavior.
• Knowledge of Azure OpenAI and Azure AI Foundry.
• Knowledge of Azure Cognitive Services including Vision, Document Intelligence, and Search.
• Knowledge of Azure ML, Azure Functions, Logic Apps, and Blob Storage.
• Knowledge of computer vision technologies such as YOLOv8, Detectron2, and OpenCV.
• Knowledge of OCR technologies such as Azure OCR / Form Recognizer.
• Knowledge of NLP, LLM fine-tuning, and RAG.
• Good understanding of DevOps, APIs, and integration workflows.
• Basic knowledge of SQL/NoSQL.
• Strong problem-solving and analytical thinking skills.
• Ability to understand complex engineering workflows.
• Good communication and documentation skills.
• Ability to work with cross-functional engineering teams.

Benefits

• Opportunity to work on real-world engineering and safety-critical AI applications.
• Exposure to cutting-edge Azure technologies and LLMs.
• Opportunity to build AI agents and autonomous systems for large-scale EPC projects.
• Opportunity to contribute to the digital transformation of a leading engineering organization.

Required Skills