L&T is hiring a GenAI Trainee for fresher candidates. All eligible and interested candidates can check the eligibility criteria, role details, selection process, and how to apply below.
About L&T:
Larsen & Toubro (L&T) is a major Indian multinational conglomerate headquartered in Mumbai, specializing in engineering, procurement, and construction (EPC) projects, hi-tech manufacturing, and services.
L&T Off Campus 2026:
| Company Name | Larsen & Toubro (L&T) |
| Post Name | GenAI Trainee |
| Expected Salary | up to ₹4 LPA* |
| Job Location | Powai |
| JobType | 0 – 2 years |
| Website | larsentoubro.com |
| Last date to apply | 9 Feb 2027 |
*The salary/stipend may vary depending on industry estimates, as the salary is not officially disclosed by the company. We do not guarantee the accuracy of the stated amount.
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Responsibilities of a GenAI Trainee:
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Assist with collecting, cleaning, preprocessing, and validating structured and unstructured datasets.
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Support the development, training, and evaluation of machine learning and deep learning models.
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Perform feature engineering, model tuning, and performance optimization activities.
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Conduct model validation, testing, benchmarking, and documentation.
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Assist with deploying and monitoring AI/ML models in development and production environments.
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Analyze model performance and recommend improvements for accuracy and efficiency.
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Assist in developing applications utilizing Large Language Models (LLMs) and multimodal AI models.
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Support prompt engineering, prompt optimization, and response evaluation.
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Participate in Retrieval-Augmented Generation (RAG), fine-tuning, and model customization projects.
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Develop and test AI-powered chatbots, virtual assistants, and content generation solutions.
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Evaluate AI model outputs for quality, factual accuracy, safety, and responsible AI considerations.
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Integrate Generative AI capabilities into enterprise applications through APIs and frameworks.
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Assist in developing image and video analytics solutions using computer vision techniques.
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Support implementation of object detection, image classification, segmentation, tracking, and OCR models.
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Work with image and video datasets for annotation, labeling, augmentation, and preprocessing.
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Assist with deep learning models using technologies such as OpenCV, TensorFlow, PyTorch, and YOLO.
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Support deployment and optimization of vision models for edge devices, cloud platforms, and real-time applications.
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Perform quality and accuracy analysis of computer vision systems.
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Conduct Exploratory Data Analysis (EDA) and generate insights from large datasets.
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Create visualizations, reports, and dashboards to communicate findings.
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Support development of data pipelines and workflows for AI applications.
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Ensure data quality, integrity, and governance standards are maintained.
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Assist in managing and processing image, text, audio, and video datasets.
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Collaborate in building intelligent automation and AI-driven business solutions.
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Integrate AI, Generative AI, and Computer Vision models with web, mobile, and enterprise applications.
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Participate in software testing, debugging, and troubleshooting activities. Follow coding standards, version control, and software development best practices.
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Stay updated with developments in AI, Machine Learning, Generative AI, Deep Learning, and Computer Vision.
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Conduct proof-of-concept (PoC) development for emerging technologies and use cases.
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Evaluate new AI frameworks, tools, and platforms for potential adoption.
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Contribute innovative ideas for enhancing AI products, services, and operational processes.
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Participate in technical discussions, hackathons, and innovation initiatives.
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Prepare technical documentation, model documentation, and project reports.
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Document datasets, training procedures, model evaluations, and deployment processes.
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Follow responsible AI, cybersecurity, data privacy, and ethical AI practices.
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Ensure compliance with organizational, industry, and regulatory standards.
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Work closely with AI Engineers, Data Scientists, Software Developers, Product Teams, and Business Stakeholders.
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Participate in Agile meetings, code reviews, and technical discussions.
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Learn through training, mentoring, self-study, and hands-on project work.
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Continuously improve technical knowledge and keep up with emerging AI technologies.
L&T Off Campus- Eligibility Criteria:
- Bachelor of Technology (B.Tech) degree
Required skills:
- Machine Learning,
- Artificial Intelligence
- Good analytical skills
- Strong interpersonal and excellent verbal and written communication skills
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L&T Recruitment Selection Process:
- Online Application
- Resume Screening
- Online Assessments
- Technical Interviews
- Offer
- Background Check
- Onboarding
The application steps may vary depending on the role/ team
Why Join L&T?
- Training and development.
- Coaching and support from seniors.
- Continuous learning culture
How to Apply for L&T Off Campus 2026?
To apply for this Off-Campus Drive, interested candidates must follow the procedure outlined below:
- Click on the “Apply here” button provided below. You will be redirected to the official career page.
- Click on “Apply”.
- If you have not registered before, create an account.
- After registration, log in and fill in the application form with all the necessary details.
- Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
- Verify that all the details entered are correct.
- Submit the application form after verification.
If you face any issues while applying. Do let us know in the comment section.
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Disclaimer: The recruitment information provided is for informational purposes only. It has been obtained from the official website of the organization, and we have no affiliation with the company. We do not provide any recruitment guarantees, The hiring process is to be conducted according to the official recruitment procedures of the company. There is no fee charged for providing this job information. For more details, please visit the Privacy Policy page.
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