Quick answer: L&T is hiring a GenAI Trainee at its Innovation Campus in Powai, Mumbai — a genuinely broad AI/ML role spanning machine learning, Generative AI, computer vision, and data engineering. Open to BTech graduates with 0-2 years of experience, this is one of the most technically comprehensive fresher AI roles currently available, with applications open until 9 February 2027.
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Job Details at a Glance
- Company: Larsen & Toubro (DEIC – L&T Precision Engineering & Systems IC)
- Role: GenAI Trainee
- Requisition ID: LNT/GT/1820562
- Location: L&T Innovation Campus, Powai, Mumbai
- Qualification: Bachelor of Technology (BTech)
- Experience: 0–2 years
- Apply By: 9 February 2027
About This L&T Off Campus Opening
This role sits within L&T’s Innovation Campus in Powai — a dedicated hub for advanced technology work, distinct from the defense-focused DEIC role we’ve covered separately. This GenAI Trainee position is genuinely broad, covering nearly every major area of applied AI currently in demand: traditional machine learning, Generative AI and LLMs, computer vision, and the data engineering that supports all of it. Rather than being narrowly scoped, this role gives you exposure across the full modern AI stack — a strong choice if you want breadth early in your career before specializing.
What You’ll Actually Be Working On
Given the scope of this role, it’s genuinely useful to break down what you’ll touch across each area:
Machine Learning & AI
You’ll assist in collecting, cleansing, and validating both structured and unstructured datasets, then support the design, training, and evaluation of ML and deep learning models. This includes feature engineering, model tuning, performance optimization, and documenting model validation and benchmarking results — plus helping deploy and monitor models once they’re in production.
Generative AI Development
You’ll help build applications using Large Language Models (LLMs) and multimodal AI, working on prompt engineering and optimization. Expect hands-on exposure to Retrieval-Augmented Generation (RAG), fine-tuning, and model customization — including developing and testing AI chatbots and content generation tools, and evaluating outputs for accuracy, safety, and Responsible AI compliance.
Computer Vision Engineering
You’ll support building image and video analytics solutions — object detection, classification, segmentation, tracking, and OCR — working with tools like OpenCV, TensorFlow, PyTorch, and YOLO. This includes dataset annotation and preprocessing, plus supporting deployment of vision models on edge devices and cloud platforms.
Data Analytics & Engineering
You’ll conduct exploratory data analysis, build visualizations and dashboards to communicate findings, and support data pipeline development — while helping maintain data quality and governance standards across image, text, audio, and video datasets.
AI Solution Development & Integration
Beyond individual models, you’ll help integrate AI, GenAI, and computer vision capabilities into real web, mobile, and enterprise applications — building APIs and microservices, and participating in testing and debugging following standard software development practices.
Research & Innovation
You’ll stay current on advancements across AI, ML, GenAI, and computer vision, build proof-of-concepts for emerging use cases, and participate in technical discussions, hackathons, and innovation initiatives — genuinely encouraging active contribution beyond assigned tasks.
Eligibility & Skills Required
- Bachelor of Technology (BTech) degree
- 0–2 years of experience
- Foundational knowledge of Machine Learning and Artificial Intelligence concepts
- Familiarity with ML/DL frameworks such as TensorFlow or PyTorch
- Exposure to computer vision tools like OpenCV or YOLO is valuable given the role’s scope
- Understanding of data preprocessing, feature engineering, and model evaluation
- Willingness to work across multiple AI domains rather than a single narrow specialization
Given how broad this role is, you don’t need deep expertise in every single area listed — a solid foundation in ML fundamentals plus genuine curiosity about GenAI and computer vision is a realistic bar. This role is explicitly structured to build that breadth on the job, not expect it on day one.
How to Apply
Requisition ID LNT/GT/1820562 — opens L&T’s official application page
⚠️ Always apply only through L&T’s official careers portal, and never pay any fee during the recruitment process.
Frequently Asked Questions
Do I need to be an expert in all of ML, GenAI, and Computer Vision to apply?
No — the role is structured to build breadth on the job. A solid ML foundation plus genuine interest in GenAI and computer vision is a realistic starting point.
What is the application deadline?
9 February 2027 — a notably long application window compared to most fresher drives, so there’s no need to rush a weak application.
Is this the same as L&T’s other Mumbai-based roles?
No — this GenAI Trainee role at the Powai Innovation Campus is distinct from L&T’s defense-systems software roles; this one is focused specifically on AI/ML/GenAI/Computer Vision work.
What frameworks or tools should I be familiar with before applying?
TensorFlow, PyTorch, OpenCV, and YOLO are explicitly mentioned — familiarity with any of these strengthens your application, though deep expertise isn’t required at the fresher level.
Does L&T charge any fee during recruitment?
No. Always apply only through L&T’s official careers portal, and never pay any fee at any stage of the recruitment process.
Get Interview-Ready
Before you apply, make sure your resume and interview answers are in shape:
- Resume Mistakes Freshers Make (And How to Fix Them)
- Crafting a Winning Resume: Tips and Templates
- Common HR Interview Questions for Freshers
- “Tell Me About Yourself” – Fresher Sample Answer
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- Documents Required for Your First IT Job – Fresher Checklist
Browse all our prep guides: Tips & Tricks
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