Larsen & Toubro (L&T) Precision Engineering & Systems is conducting an off-campus drive in 2025 for the position of Graduate Engineer Trainee specifically in the field of AI & ML, with opportunities based in Mumbai. This drive is aimed at freshers who have completed their bachelor’s degree in Engineering or Computer Science and have a strong interest in machine learning and data science
L&T Precision Off Campus Drive 2025 Overview:-
Job Title: Graduate Engineer Trainee – ML
Job Location: Mumbai
Salary: Best in Industry
Experience: Freshers
Batch : 2015/2024 or Any Batch
Eligibility Criteria:
BE/ B.Tech/MCA/ME/M.Tech or Related
Job Description:
Position Overview: 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.
Qualifications
- 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
How To Apply:
The interested and eligible candidates can apply to the L&T Off Campus Drive through online mode as early as possible.
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