AI/ML Engineer (Powai)

AI/ML Engineer (Powai)

13 Aug
|
L&T Technology Services
|
Powai

13 Aug

L&T Technology Services

Powai

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 robust 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

📌 AI/ML Engineer (Powai)
🏢 L&T Technology Services
📍 Powai

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