L&T Off Campus Drive 2026: Larsen & Toubro (L&T) inviting applications for the AI/ML Engineer role under its Digital Engineering & Technology division. Candidates with B.E/B.Tech/M.E/M.Tech qualifications in Computer Science, Artificial Intelligence, or Machine Learning are eligible to apply. This is excellent opportunity for fresh graduates and professionals with up to 2+ years of experience to work on cutting-edge AI, Machine Learning, Computer Vision, and Azure AI technologies. The job location is Powai, Mumbai. Interested and eligible candidates can apply online on or before 11 January 2027. You can apply also Balfour Beatty Recruitment 2026.
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L&T Off Campus Drive 2026:
| Job Role | AI/ML Engineer |
| Qualification | B.E/B.Tech/M.E/M.Tech |
| Experience | 0 – 2+ Years |
| Job Location | Powai (Mumbai) |
| Last Date to Apply | 11 January 2027 |
Detailed Eligibility Criteria:
- Required Educational Qualification Candidates must possess: B.E./B.Tech/M.E./M.Tech in: Computer Science, Artificial Intelligence, Machine Learning
- Experience: Freshers with strong AI/ML fundamentals are encouraged to apply.
- Candidates with 0–2+ years of experience in AI/ML, Data Science, or Azure AI services are also eligible.
About the Role:
L&T Energy Offshore is accelerating its digital transformation by deploying advanced Artificial Intelligence and Machine Learning solutions across Engineering, Procurement, Construction (EPC), Safety, and Compliance. As AI/ML Engineer, you will work on real world engineering challenges, build intelligent automation systems, develop AI-powered chatbots, create computer vision solutions, and contribute to large-scale digital transformation initiatives using Microsoft Azure AI technologies.
Key Responsibilities:
- Azure AI & Chatbot Development
- Build AI-powered chatbots using Azure OpenAI and Azure Bot Service.
- Develop conversational AI workflows for engineering and project management teams.
- Integrate chatbots with Microsoft Teams, SharePoint, Azure Logic Apps, and engineering databases.
- Fine-tune Large Language Models (LLMs) such as GPT-4, GPT-4o, and Phi-3 using engineering datasets.
- Video Analytics
- Develop deep learning models for:
- PPE Detection
- Safety Violation Detection
- Hazard Identification
- Activity Tracking
- Implement computer vision models using YOLOv8 and Detectron2.
- Build video analytics pipelines on Azure.
- Engineering Document Automation
- Build AI systems for Material Take-Off (MTO) extraction from P&ID drawings.
- Utilize OCR technologies like Azure Document Intelligence.
- Automate engineering drawing analysis and compliance validation.
- Develop AI agents for engineering workflow automation.
- Software Development
- Develop scalable AI solutions using Python.
- Build APIs and integration workflows.
- Participate in testing, deployment, and optimization of AI applications.
Technical Skills Required:
- AI & Machine Learning
- Machine Learning Algorithms
- Deep Learning
- CNN
- RNN
- Transformers
- Prompt Engineering
- Embeddings
- Large Language Models (LLMs)
- Programming
- Python (Mandatory)
- SQL / NoSQL
- Azure Technologies
- Azure OpenAI
- Azure AI Foundry
- Azure Machine Learning
- Azure Cognitive Services
- Azure Blob Storage
- Azure Functions
- Azure Logic Apps
- Azure Databricks (Preferred)
- Computer Vision
- OpenCV
- YOLOv8
- Detectron2
- OCR
- Azure Form Recognizer
- Video Analytics
- FFmpeg
- NLP & Document AI
- Retrieval-Augmented Generation (RAG)
- LLM Fine-Tuning
- Metadata Extraction
- Clause Extraction
- Compliance Validation
Required Soft Skills:
- Candidates should possess: Strong analytical and problem-solving skills.
- Excellent communication skills.
- Ability to understand complex engineering workflows.
- Good documentation skills.
- Team collaboration and cross-functional communication.
- Passion for continuous learning and innovation.
Benefits:
- Work on real-world AI and Machine Learning projects.
- Exposure to Azure OpenAI and Generative AI technologies.
- Build intelligent chatbots and AI agents.
- Opportunity to work on Computer Vision and Document AI.
- Learn from experienced engineering professionals.
- Excellent career growth opportunities.
- Work on large-scale Engineering Procurement & Construction (EPC) digital transformation projects.
How to Apply for L&T Off Campus Drive 2026?
Interested and eligible candidates can apply online by submitting their updated resume along with project or portfolio links through the official L&T Careers portal on or before 11 January 2027.
L&T Off Campus Drive More Details & To Apply: Click Here
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