Job Description
Larsen & Toubro
Graduate Engineer Trainee
Full -Time
India, Bangalore, Karnataka
Larsen & Toubro is an Indian multinational engaged in EPC Projects, Hi-Tech Manufacturing and Services. It operates in over 50 countries worldwide. A strong, customer-focused approach and the constant quest for top-class quality have enabled L&T to attain and sustain leadership in its major lines of business for over eight decades.We are engaged in core, high impact sectors of the economy and our integrated capabilities span the entire spectrum of ‘design to delivery’.Every aspect of L&T's businesses is characterised by professionalism and high standards of corporate governance. Sustainability is embedded into our long-term strategy for growth.The Company’s manufacturing footprint extends across eight countries in addition to India. L&T has several international offices and a supply chain that extends around the globe.
Any Degree
Freshers
1. Strong understanding of machine learning concepts and algorithms (e.g., regression, classification, clustering, neural networks, etc.).
2. Proficiency in programming languages such as Python, R, or similar.
3. Experience with machine learning libraries and frameworks (e.g., TensorFlow, Keras, scikit-learn, PyTorch).
4. Solid understanding of data structures, algorithms, and problem-solving techniques.
5. Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
6. Strong analytical, problem-solving, and communication skills.
7. Ability to work both independently and collaboratively in a fast-paced environment.
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.
