Highlights
Join OTSI as an AI Fresher to work on LLMs and RAG. Design and develop AI models for NLP, CV, and enterprise use cases.
Description
OTSI, a CMMI Level V IT services company with global operations and a talent base of over 2000 professionals across North America, Latin America, Middle East, and Asia Pacific, is seeking highly motivated fresh graduates to join our team as AI Fresher. This role provides an exciting opportunity for you to work on cutting-edge technologies in areas such as Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), contributing to innovative solutions that tackle real-world problems.
About the Role: You will be responsible for designing, developing, and implementing AI/ML models across various applications. Your role will involve working on Deep Learning architectures like CNNs, RNNs, and Transformers in domains such as NLP and CV. Additionally, you'll develop and fine-tune LLMs tailored for enterprise use cases, collaborate with cross-functional teams to integrate AI solutions into products, and stay updated with the latest research advancements.
- Design, develop, and implement AI/ML models for various applications
- Work on Deep Learning architectures (CNNs, RNNs, Transformers) in NLP and CV domains
- Develop and fine-tune Large Language Models (LLMs)
- Implement RAG pipelines for knowledge-intensive tasks
- Collaborate with cross-functional teams to integrate AI solutions into products
- Stay updated with the latest research in AI/ML
Required Skills & Qualifications: You must hold a B.Tech/M.Tech from an institute like IIT or NIT, focusing on fields such as Computer Science, AI/ML, Data Science. Proficiency in Python is essential, with additional experience in R being advantageous. Hands-on experience with ML frameworks like TensorFlow and PyTorch is required. A solid understanding of Deep Learning, NLP, and Generative AI concepts is crucial.
Preferred Skills: Experience with cloud platforms (AWS, Azure, GCP) for AI/ML deployment, familiarity with MLOps and model lifecycle management, and participation in AI/ML competitions or research publications are highly valued.
Skills
