**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.