L&T Off Campus Drive 2025 For Graduate Engineer Trainee

L&T Off Campus Drive 2025: L&T Off Campus Drive 2025 For Graduate Engineer Trainee. B.E / B.Tech / M.E / M.Tech candidates can apply. The detailed eligibility and application process are given below.

About Company: Larsen & Toubro is a major Indian multinational in technology, engineering, construction, manufacturing and financial services, with global operations. The Company addresses critical needs in key sectors – hydrocarbon, infrastructure, power, process industries and defense. A strong, customer-focused approach, conformance to global HSE standards and the constant quest for top-class quality have enabled the Company to sustain leadership in its major lines of business for 80 years. L&T was the first company in India in the engineering & construction space to publicly disclose its sustainability performance. The Company’s annual Sustainability Reports highlight achievements and objectives across the traditional three ‘Ps’ of Planet, People and Profits.

Job Title: Graduate Engineer Trainee

Location: Mumbai

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Job Description:

  • As a Machine Learning Intern, you will work alongside a team of data scientists and engineers to develop, implement, and optimize machine learning algorithms and models.
  • This job offers the opportunity to build practical skills in data analysis, machine learning, and software engineering while contributing to impactful projects within the company.

Responsibilities:

  • 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.
  • 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.
  • Write and maintain clean, efficient, and well-documented code.
  • Contribute to research on emerging machine learning techniques and tools.
  • Prepare and present findings, reports, and visualizations for technical and non-technical stakeholders.

Skills:

  • Strong understanding of machine learning concepts and algorithms (e.g., regression, classification, clustering, neural networks, etc.).
  • Proficiency in programming languages such as Python, R, or similar.
  • Experience with machine learning libraries and frameworks (e.g., TensorFlow, Keras, scikit-learn, PyTorch).
  • Solid understanding of data structures, algorithms, and problem-solving techniques.
  • Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work both independently and collaboratively in a fast-paced environment.

Preferred Skills (optional):

  • Experience with deep learning techniques and frameworks.
  • Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure).
  • Knowledge of version control tools (e.g., Git).
  • Experience with SQL and working with databases.

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Qualification: B.E / B.Tech / M.E / M.Tech

Work Experience: 0 – 1 Years

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How to Apply for L&T Off Campus Drive 2025?

Interested and Eligible candidates can apply for this drive online by using the link below.

Apply: Click Here