L&T Off Campus Drive 2026 – Multiple Roles | Apply Online

L&T Off Campus Drive 2026 – Details**:

L&T Off Campus Drive 2026 for Trainee HR:

Detailed Eligibility:

Trainee HR:

Minimum Qualification:

• Bachelor Of Business Administration (BBA),
• Bachelor Of Management Studies (BMS),
• Bachelor Of Business Administration Honours (BBA Hons)

Knowledge & Posting Location

• Recruitment & Selection
• Employee Life Cycle Management
• HR Operations
• HR Coordination
• HR Audit

Role Description:

• Recruitment process of associates by posting job positions, screening resumes, and coordinating interviews.
• Coordination with Associates service provider for appointment letter / service letter.
• Facilitate the onboarding process for new hires, including conducting orientation sessions and ensuring all necessary documentation is completed.
• Maintain & update the associate master data in internal system for all SSC locations.
• Manage time & attendance for 3rd party associates. Collect attendance & share salary inputs to service provider. Check the salary register, invoice & coordinate for salary release with admin / F&A & service providers, extensions of contract and coordinate for full & final settlements – all locations
• Document the training records for the training initiated including attendance, feedback forms & assessments.
• Support in executing other HR engagement activities, appraisal process.

How to Apply for L&T Off Campus Drive 2026?

Interested and eligible candidates can apply for the drive online on or before 09 January 2027using the link below.

For More Details & To Apply: Click here.

L&T Off Campus Drive 2026 for GenAI Trainee:

Detailed Eligibility:

GenAI Trainee:

• Bachelor of Technology (BTech) & Master of Technology (MTech)
• Required Experience: 0 – 2 Years

(adsbygoogle = window.adsbygoogle || []).push({});

Skills:

• Machine Learning
• Computer vision
• Artificial Intelligence

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 activities.
• 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 utilizing Large Language Models (LLMs) and multimodal AI models.
• Support prompt engineering, prompt optimization, and response evaluation activities.
• 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 compliance with 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 implementation of object detection, image classification, segmentation, tracking, and OCR models.
• Work with image and video datasets for annotation, labeling, augmentation, and preprocessing.
• Train and evaluate deep learning models using frameworks such as 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 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 (adsbygoogle = window.adsbygoogle || []).push({});

• Collaborate in building intelligent automation and AI‐driven business solutions.
• Integrate AI, Generative AI, and Computer Vision models with web, mobile, and enterprise applications.
• Develop APIs, microservices, and cloud‐based AI solutions.
• Participate in software testing, debugging, and troubleshooting activities.
• 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.

• Bachelor Of Business Administration (BBA),
• Bachelor Of Management Studies (BMS),
• Bachelor Of Business Administration Honours (BBA Hons)
• B.E/B.Tech/M.E/M.Tech
• 0 – 2 Years