GenAI Trainee

L&T’s interview process typically starts with a timed online aptitude test followed by a technical interview focusing on data structures, algorithms, and core ML concepts. The HR round assesses cultural fit and communication skills. Candidates should practice coding on platforms like LeetCode and revise ML fundamentals to succeed.

L&T is known for its disciplined yet innovative work culture, offering a blend of structured processes and freedom to experiment. Employees benefit from robust training programs, clear performance metrics, and a supportive environment that encourages work‑life balance while delivering high‑impact projects.

Bachelor of Technology (B.Tech) or Master of Technology (M.Tech) in Computer Science, Electronics, Information Technology, Electrical Engineering or related streams; no active backlogs at the time of joining; strong foundation in programming, mathematics and basic machine‑learning concepts.

Round 1: Online aptitude & technical test → Round 2: Technical interview (coding, ML concepts, project discussion) → Round 3: HR interview (fitment, communication, career goals)

Larsen & Toubro (L&T) is one of India’s largest engineering conglomerates, known for its diversified portfolio spanning infrastructure, heavy engineering, technology services and digital solutions. The company’s Precision Engineering & Systems division, based in Powai, focuses on cutting‑edge research and development in automation, robotics and artificial intelligence. With a strong emphasis on innovation, L&T invests heavily in building AI‑driven products that cater to sectors such as manufacturing, energy, and smart cities. The work culture encourages continuous learning, cross‑functional collaboration, and a merit‑based growth trajectory, making it an attractive destination for fresh engineering talent. The GenAI Trainee role is designed for recent B.Tech/M.Tech graduates who are eager to dive deep into the world of Machine Learning, Generative AI and Computer Vision. As a trainee, you will work alongside senior AI Engineers and Data Scientists, assisting in end‑to‑end AI solution development – from data collection and preprocessing to model deployment and monitoring. The position offers hands‑on exposure to industry‑grade AI frameworks, cloud platforms, and real‑time production pipelines, providing a solid foundation for a long‑term career in AI engineering. **Key Responsibilities** 1. Collect, cleanse, preprocess and validate structured and unstructured datasets for ML projects. 2. Support design, development, training and evaluation of machine‑learning and deep‑learning models. 3. Perform feature engineering, hyper‑parameter tuning and model performance optimisation. 4. Assist in model validation, benchmarking, documentation and deployment in development/production environments. 5. Contribute to Generative AI initiatives – prompt engineering, fine‑tuning LLMs, building RAG pipelines and AI‑powered chatbots. 6. Develop computer‑vision solutions including object detection, image classification, segmentation, tracking and OCR using OpenCV, TensorFlow, PyTorch and YOLO. 7. Conduct exploratory data analysis, create visualisations, dashboards and support data‑pipeline development. 8. Integrate AI models with web, mobile and enterprise applications via APIs, micro‑services and cloud services. 9. Participate in research, proof‑of‑concepts, and stay updated with emerging AI trends. 10. Prepare technical documentation, ensure compliance with Responsible AI and data‑privacy guidelines. **Tech Stack**: Python, Pandas, NumPy, Scikit‑learn, TensorFlow, PyTorch, OpenCV, YOLO, LangChain, FastAPI, Docker, Kubernetes, AWS/GCP, Git. **Growth Path**: Successful trainees can progress to AI Engineer, Senior AI Engineer, and eventually AI Lead or Solution Architect roles, with opportunities to lead product‑centric AI projects across L&T’s global business units. **Why Join L&T?** L&T offers a stable, well‑structured environment backed by a strong brand, competitive compensation, and a clear career ladder. The exposure to large‑scale industrial problems, mentorship from seasoned professionals, and access to state‑of‑the‑art AI labs make it an ideal launchpad for aspiring AI specialists.