GenAI Trainee

Round 1: Online Assessment (quantitative aptitude, logical reasoning, verbal ability, basic programming, AI/ML fundamentals) → Round 2: Technical Interview (project discussion, coding, AI concepts, problem‑solving) → Round 3: Managerial/Technical Discussion (scenario‑based questions, AI application in business) → Round 4: HR Interview (communication skills, cultural fit, career aspirations)

LTTS promotes a collaborative and innovation‑driven environment where employees are encouraged to experiment with emerging technologies. The company offers structured learning programs, mentorship, and a balanced work‑life approach, allowing fresh talent to grow while maintaining personal well‑being.

LTTS interview process typically involves a timed online aptitude test followed by two to three technical rounds focusing on coding, AI/ML fundamentals, and project experience. The difficulty is moderate; candidates should be comfortable with Python, basic algorithms, and generative AI concepts. HR round assesses communication, motivation, and cultural fit.

Bachelor's degree in Computer Science, Information Technology, Electronics & Communication, Electrical Engineering, or related streams; minimum 60% aggregate (or CGPA 6.0/10); no active backlogs at the time of joining; fresh graduates or candidates with up to 2 years of experience; strong academic record and a passion for AI/ML; willingness to relocate to Mumbai.

Larsen & Toubro Technology Services (LTTS) is a leading Indian multinational engineering and technology services company headquartered in Mumbai. With a legacy spanning over six decades, LTTS delivers end‑to‑end solutions across sectors such as aerospace, automotive, telecom, healthcare, and energy. The organization is known for its strong focus on innovation, research and development, and a culture that encourages continuous learning. As part of the larger L&T Group, LTTS benefits from deep industry expertise, a robust global delivery network, and a commitment to sustainable growth. The GenAI Trainee role is designed for fresh engineering graduates who are eager to dive into the fast‑evolving world of Generative AI. Trainees will work under senior AI Engineers and Data Scientists, gaining hands‑on experience in building, fine‑tuning, and deploying large language models (LLMs) and multimodal AI solutions. The position offers a blend of data engineering, model development, and product integration tasks, providing a solid foundation for a career in artificial intelligence. Key Responsibilities: 1. Collect, cleanse, preprocess, and validate structured and unstructured datasets for AI projects. 2. Assist in designing, developing, training, and evaluating machine learning and deep learning models. 3. Perform feature engineering, model tuning, and performance optimization. 4. Conduct model validation, benchmarking, and documentation of results. 5. Support deployment and monitoring of AI/ML models in development and production environments. 6. Develop applications leveraging Large Language Models, including prompt engineering and response evaluation. 7. Participate in Retrieval‑Augmented Generation (RAG), fine‑tuning, and model customization initiatives. 8. Build and test AI‑powered chatbots, virtual assistants, and content‑generation tools. 9. Ensure data quality, integrity, and governance across image, text, audio, and video datasets. 10. Collaborate with cross‑functional teams—AI Engineers, Software Developers, Product Managers, and Business Stakeholders—to integrate AI capabilities into enterprise solutions. Tech Stack: Python, PyTorch/TensorFlow, Hugging Face Transformers, SQL, Pandas, NumPy, Docker, RESTful APIs, Git, Linux. Growth Path: Successful trainees can progress to AI Engineer, Machine Learning Engineer, or Data Scientist roles within 12‑24 months, with opportunities to lead AI projects, specialize in LLM research, or move into product management. Why Join LTTS? The company offers a vibrant learning ecosystem, mentorship from industry veterans, exposure to cutting‑edge AI research, and a clear career trajectory. Freshers benefit from structured training programs, access to state‑of‑the‑art infrastructure, and the chance to work on real‑world AI solutions for global clients, making LTTS an ideal launchpad for a thriving AI career.