L&T (Larsen & Toubro) Freshers Recruitment 2025 | Graduate Engineer Trainee | Powai

L&T (Larsen & Toubro) published job link for hiring freshers as Graduate Engineer Trainee Profile in PAN India, so guys you need to apply as soon as possible.

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Company Name: L&T (Larsen & Toubro)
Website: www.lntinfotech.com
Qualification: BTech/ MTech
Location: Powai
Experience: Freshers (0 to 1 years)
Job Role: Graduate Engineer Trainee
Salary: From 4.25 LPA to 6.0 LPA

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Do not miss applying to the below jobs:

Job Opening 1: 

Tech Mahindra Freshers Recruitment

Qualification: B E/ BTech

Location: Bangalore

Experience: Fresher (0 to 1 Years)

Job Role: C++ Developer

Salary: Best In Industry

Apply Here

Job Opening 2:

Accenture Freshers Recruitment

Qualification: BE/BTech, ME/MTech, MCA, MSc
Location: Pan India
Experience: Fresher only
Job Role: Application Development Associate
Salary: INR 4,61,200 Per Annum

Apply Here

Job Opening 3:

Visa Freshers Recruitment

Qualification: B E/ BTech, MTech

Location: Bangalore

Experience: Fresher (0 to 1.6 Years)

Job Role: Software Engineer

Salary: Best In Industry

Apply Here

L&T (Larsen & Toubro) Job Openings for Freshers - Required Skills/ Qualification:

- Educational qualification is BTech/ MTech

- Strong understanding of machine learning concepts and algorithms (e.g., regression, classification, clustering, neural networks, etc.)

- Solid understanding of data structures, algorithms, and problem-solving techniques

- Familiarity with data preprocessing, feature engineering, and model evaluation techniques

- Proficiency in programming languages such as Python, R, or similar

- Experience with machine learning libraries and frameworks (e.g., TensorFlow, Keras, scikit-learn, PyTorch)

- Experience with deep learning techniques and frameworks

- Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure)

- Strong analytical, problem-solving, and communication skills

- Ability to work both independently and collaboratively in a fast-paced environment

- Experience with SQL and working with databases

- Knowledge of version control tools (e.g., Git)

Click Here to Apply Online

L&T (Larsen & Toubro) Freshers Recruitment 2025 - How To Apply:

Visit the link above to access the L&T (Larsen & Toubro) Recruitment Process 2025 page and submit your application. Ensure you patiently await the full loading of the L&T (Larsen & Toubro) recruitment page. Additionally, ensure accurate and thorough completion of all required details in the application form.

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• Click Here to Submit Your Details

We hope this post helped you to know about L&T (Larsen & Toubro) Freshers Recruitment 2025. You may also want to get job opening notifications on daily basis. If yes, please join with us on Telegram.

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L&T (Larsen & Toubro) Freshers Recruitment - Job Description (what you will do?):

- Collaborate with cross-functional teams to understand business needs and apply machine learning techniques to solve real-world problems

- Help in model evaluation, performance tuning, and optimization

- Develop & Assist in the design, development, and testing of machine learning models and algorithms

- Conduct data preprocessing, feature engineering, and data analysis to prepare datasets for modeling

- Prepare and present findings, reports, and visualizations for technical and non-technical stakeholders

- Write and maintain clean, efficient, and well-documented code

- Contribute to research on emerging machine learning techniques and tools

L&T (Larsen & Toubro) Freshers Recruitment - Interview Process:

- Written Test

- Technical Interview

- HR Interview

- Documents Verification

- Offer Letter Release

L&T (Larsen & Toubro) Freshers Recruitment - Important Notes:

- Last Date To Apply: 28th July 2025

Fresher Jobs By Location:

Bangalore IT Freshers Jobs - Check Here

Hyderabad IT Freshers Jobs - Check Here

Delhi IT Freshers Jobs - Check Here

Pune IT Freshers Jobs - Check Here

Chennai IT Freshers Jobs -  Check here

Note: Most frequently asked technical interview question in L&T (Larsen & Toubro) is Real Time Example for Abstraction

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