L&T Recruitment – GenAI Trainee | Mumbai

L&T Recruitment 

L&T is hiring for the position of GenAI Trainee at L&T Precision Engineering & Systems IC, L&T Innovation Campus, Powai. This opportunity is suitable for candidates with 0–2 years of experience and a B.Tech or M.Tech degree.

The role focuses on Artificial Intelligence, Machine Learning, Generative AI, Computer Vision, Deep Learning, Data Analytics, and AI solution development.

L&T Recruitment – Details

Job Details

• Company : L&T
• Job Role : GenAI Trainee
• Department : DEIC – L&T Precision Engineering & Systems IC
• Location : L&T Innovation Campus, Powai, Mumbai
• Qualification : B.Tech / M.Tech
• Experience : 0–2 Years
• Posted On : August 13, 2026
• Application End Date : February 9, 2027

Job Description

The GenAI Trainee will work on AI and emerging technology initiatives involving Machine Learning, Generative AI, Computer Vision, Data Analytics, and AI-driven solutions.

The role provides an opportunity to work with modern AI technologies, assist in developing intelligent applications, and contribute to research, innovation, testing, deployment, and integration of AI solutions.

Roles and Responsibilities

Machine Learning & Artificial Intelligence

• Assist in collecting, cleansing, preprocessing, and validating structured and unstructured datasets.
• Support the design, development, training, and evaluation of machine learning and deep learning models.
• Perform feature engineering, model tuning, and performance optimization.
• Conduct model validation, testing, benchmarking, and documentation.
• Assist in deploying and monitoring AI/ML models in development and production environments.
• Analyze model performance and recommend improvements for accuracy and efficiency.

Generative AI Development

• Assist in developing applications using Large Language Models (LLMs) and multimodal AI models.
• Support prompt engineering, prompt optimization, and response evaluation.
• Participate in Retrieval-Augmented Generation (RAG), fine-tuning, and model customization projects.
• Develop and test AI-powered chatbots, virtual assistants, and content generation solutions.
• Evaluate model outputs for quality, factual accuracy, safety, and Responsible AI practices.
• Integrate Generative AI capabilities into enterprise applications through APIs and frameworks.

Computer Vision Engineering

• Assist in developing image and video analytics solutions using computer vision techniques.
• Support object detection, image classification, segmentation, tracking, and OCR models.
• Work with image and video datasets for annotation, labeling, augmentation, and preprocessing.
• Assist in training and evaluating deep learning models using OpenCV, TensorFlow, PyTorch, and YOLO.
• Support deployment and optimization of vision models for edge devices, cloud platforms, and real-time applications.
• Perform quality assessments and accuracy analysis of computer vision systems.

Data Analytics & Engineering

• Conduct Exploratory Data Analysis (EDA) and generate insights from large datasets.
• Create visualizations, reports, and dashboards to communicate findings effectively.
• Support the development of data pipelines and workflows for AI applications.
• Ensure data quality, integrity, and governance standards are maintained.
• Assist in managing and processing image, text, audio, and video datasets.

AI Solution Development & Integration

• Collaborate in building intelligent automation and AI-driven business solutions.
• Integrate AI, Generative AI, and Computer Vision models with web, mobile, and enterprise applications.
• Assist in developing APIs, microservices, and cloud-based AI solutions.
• Participate in software testing, debugging, and troubleshooting.
• Follow coding standards, version control, and software development best practices.

Research & Innovation

• Stay updated on advancements in AI, Machine Learning, Generative AI, Computer Vision, and Deep Learning.
• Conduct proof-of-concept (PoC) development for emerging technologies and use cases.
• Evaluate new AI frameworks, tools, and platforms for potential adoption.
• Contribute innovative ideas for enhancing AI products, services, and operational processes.
• Participate in technical discussions, hackathons, and innovation initiatives.

Documentation & Compliance

• Prepare technical documentation, model documentation, and project reports.
• Document datasets, training procedures, model evaluations, and deployment processes.
• Follow Responsible AI, cybersecurity, data privacy, and ethical AI guidelines.
• Ensure compliance with organizational, industry, and regulatory standards.

Collaboration & Learning

• Work closely with AI Engineers, Data Scientists, Software Developers, Product Teams, and Business Stakeholders.
• Participate in Agile ceremonies, code reviews, and team meetings.
• Continuously enhance technical knowledge through training, mentoring, and self-learning.
• Demonstrate a proactive attitude toward learning and adopting emerging technologies.

How to Apply for L&T Recruitment?

Interested and eligible candidates can apply online for the GenAI Trainee position at L&T.

For More Details & To Apply: https://larsentoubrocareers.peoplestrong.com/job/detail/LNT_GT_1820286

Frequently Asked Questions (FAQs)

1. Who can apply for L&T GenAI Trainee Recruitment?

Candidates with a B.Tech or M.Tech degree and 0–2 years of experience can apply for this opportunity.

2. What is the job location for the L&T GenAI Trainee role?

The position is based at L&T Innovation Campus, Powai.

3. What skills are required for the GenAI Trainee position?

The role requires knowledge or interest in Artificial Intelligence, Machine Learning, Generative AI, Computer Vision, and Deep Learning. Knowledge of technologies such as Python, TensorFlow, PyTorch, OpenCV, and YOLO can be useful for the role.

4. Is L&T GenAI Trainee suitable for freshers?

Yes. The position requires 0–2 years of experience, making it suitable for freshers and early-career candidates who meet the educational requirements.

5. What technologies will candidates work with in this role?

Candidates may work with LLMs, RAG, Generative AI, Computer Vision, OpenCV, TensorFlow, PyTorch, YOLO, APIs, microservices, cloud-based AI solutions, and data pipelines.

Disclaimer

This job information is shared strictly for career awareness and student guidance. OkFreshers does not influence recruitment decisions, interview outcomes, or selection processes. Applicants are advised to verify all details directly on the official company website and proceed at their own discretion. Recruitment is free of cost, and all hiring activities are solely managed by the respective employer.