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.