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GenAI Trainee

Larsen & Toubro

Powai / Mumbai

0-2 years

Today

$6.0K–10.8K/yr

Full time

Onsite

Skills Required LLM

Multimodal AI

Prompt Engineering

RAG

Fine-tuning

Gen AI

Machine Learning

AI

Deep Learning

Computer Vision

OpenCV

TensorFlow

PyTorch

YOLO

OCR

Description Machine Learning & Artificial Intelligence role at L&T; Precision Engineering & Systems IC for building, evaluating, and deploying AI solutions across ML, Generative AI, Computer Vision, and data analytics.

Company: L&T; Precision Engineering & Systems IC

Role: Machine Learning & Artificial Intelligence

Location: L&T; Innovation Campus, Powai

Experience

- 0 - 2 years

Qualification

- Bachelor of Technology (BTech)

Responsibilities

- Collect, cleanse, preprocess, and validate structured and unstructured datasets
- Design, develop, train, and evaluate machine learning and deep learning models
- Perform feature engineering, model tuning, and performance optimization
- Validate, test, benchmark, and document models
- Deploy and monitor AI/ML models in development and production environments
- Analyze model performance and recommend improvements for accuracy and efficiency
- Develop applications using LLMs and multimodal AI models
- Support prompt engineering, prompt optimization, and response evaluation
- Participate in 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 compliance
- Integrate Generative AI capabilities into enterprise applications through APIs and frameworks
- Develop image and video analytics solutions using computer vision techniques
- Train and evaluate deep learning models for vision use cases




- Conduct EDA and generate insights from large datasets
- Create visualizations, reports, and dashboards
- Support development of data pipelines and workflows for AI applications
- Ensure data quality, integrity, and governance standards
- 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
- Conduct PoC development for emerging technologies and use cases
- Prepare technical documentation, model documentation, and project reports
- Document datasets, training procedures, model evaluations, and deployment processes
- Work closely with AI Engineers, Data Scientists, Software Developers, Product Teams, and Business Stakeholders
- Participate in Agile ceremonies, code reviews, and team meetings

Additional Responsibilities

- Work with image and video datasets for annotation, labeling, augmentation, and preprocessing
- 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
- Follow coding standards and software development best practices
- 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
- Follow organizational, industry, and regulatory compliance standards
- Continuously enhance technical knowledge through training, mentoring, and self-learning
- Demonstrate a proactive attitude toward learning and adopting emerging technologies

More Skills Large Language Models (LLMs), Multimodal AI models, Retrieval-Augmented Generation (RAG), Model customization, Object detection, Image classification, Segmentation, Tracking, Exploratory Data Analysis (EDA), Data pipelines, APIs, Microservices, Cloud-based AI solutions, Version control, Responsible AI, Cybersecurity, Data privacy, Ethical AI

Other

- Posted On 13 Aug 2026
- End Date 09 Feb 2027
- Innovation campus location
- AI, Machine Learning, Generative AI, Computer Vision, and Deep Learning focus

Prepare for this role Recommended resources to build the skills for this position. Sponsored.

Generative AI with Large Language Models

Coursera

Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

Large Language Models: Application through Production edX

Production-focused LLM course covering deployment, monitoring, and scaling.

Deep Learning Specialization

Coursera

Five-course deep learning series covering CNNs, RNNs, transformers, and ML strategy.

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