GenAI Trainee

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Kurla

On-site

INR 573,000 - 1,032,000

Full time

6 days ago

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Job summary

Larsen & Toubro's GenAI Trainee position at the L&T Precision Engineering & Systems IC offers exposure to building, evaluating, and deploying AI solutions across ML, GenAI, CV, and data analytics. Located at the Innovation Campus in Powai, Mumbai, the role targets fresh engineers with up to 2 years of experience and a BTech qualification.

As part of a hands-on program, you will work with AI engineers and data scientists to develop models, fine-tune for accuracy, and deploy solutions in

Qualifications

0-2 years of experience in GenAI or ML roles.
BTech in engineering or equivalent degree.

Responsibilities

Collect, preprocess, and validate datasets for ML/AI projects.
Design, train, and evaluate ML/DL models including vision models.
Develop and deploy AI solutions across ML, GenAI, and CV domains.
Perform feature engineering, model tuning, and performance optimization.
Develop APIs, microservices, and cloud-based AI solutions.
Collaborate with AI engineers, data scientists, software developers, and stakeholders.
Prepare technical documentation and model reports.

Skills

LLM

Multimodal AI

Prompt Engineering

RAG

Fine-tuning

Gen AI

Machine Learning

Deep Learning

Computer Vision

OpenCV

TensorFlow

PyTorch

YOLO

OCR

Education

Bachelor of Technology (BTech)

Job 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.

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GenAI Trainee

Larsen & Toubro

Powai / Mumbai

0-2 years

2 days ago

$6.0K–10.8K/yr

Full-time

Onsite

Skills Required

Multimodal AI

Prompt Engineering

Fine-tuning

Gen AI

Machine Learning

Deep Learning

Computer Vision

OpenCV

TensorFlow

PyTorch

YOLO

Description

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

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