NewFull-time· software · ai
Larsen & Toubro logo

Larsen & Toubro

GenAI Trainee

Pay

₹6L–12L LPA

+22% vs avg

Location

Mumbai

On-site

Batch

2024, 2025, 2026

eligible

Closes

179d

9 Feb

Posted 6h ago · 977 views this week

Open · 179 days left

₹6L–12L LPA

Full-time · Mumbai · On-site

CareersAt.Tech curates & verifies listings. Always apply on the official company page.

Tailor my resume to this JD

Free AI prompt · built for this exact role

Description

About the role

Larsen & Toubro (L&T) is hiring for the position of GenAI Trainee under its DEIC-L&T Precision Engineering & Systems IC. The role provides exposure to Machine Learning, Deep Learning, Generative AI, Large Language Models, Retrieval-Augmented Generation (RAG), Computer Vision, data analytics, AI application development, and cloud-based AI solutions.

Responsibilities

  • Collecting, cleansing, preprocessing, and validating structured and unstructured datasets.
  • Supporting the design, development, training, and evaluation of machine learning and deep learning models.
  • Performing feature engineering and model tuning.
  • Supporting model performance optimization.
  • Conducting model validation, testing, benchmarking, and documentation.
  • Assisting with deployment and monitoring of AI/ML models.

Eligibility

  • Bachelor of Technology (B.Tech) qualification.
  • Master of Technology (M.Tech) qualification.
  • 0–2 years of experience.
  • Knowledge or interest in Machine Learning.
  • Knowledge or interest in Artificial Intelligence.
  • Knowledge or interest in Computer Vision.

Skills

  • Machine Learning.
  • Artificial Intelligence.
  • Computer Vision.
  • Generative AI.
  • Large Language Models.

Benefits

  • Opportunity to work with emerging technologies.
  • Exposure to Machine Learning, Deep Learning, Generative AI, and Computer Vision.
  • Collaboration with professionals across multiple technical and business functions.

Skills

· 5 total

Required3

machine learningartificial intelligencecomputer vision

Nice to have2

generative ailarge language models