We are seeking a dynamic professional with 1-2 years of hands-on experience in data science and generative AI. The ideal candidate will have a strong foundation in machine learning techniques, generative AI, RAG, and experience with productionizing ML models, preferably in cloud environments. Additionally, experience in developing and implementing Agentic AI systems for context-aware and dynamic solutions is highly desirable.

Skills/Experience

• Develop, and implement state-of-the-art techniques in the field of Large Language Models (LLM) and Generative AI.
• Design and implement RAG (Retrieval-Augmented Generation) techniques to enhance LLM-based systems by integrating external knowledge for dynamic and contextually accurate responses.
• Develop and integrate Agentic AI systems to enable dynamic, context-aware decision-making.
• ML Model building and deployment on the cloud.
• Leverage MLOPS techniques and build end to end model pipelines.
• Stay abreast of industry trends, emerging technologies, and advancements in AI/ML.

Qualifications

• Bachelor’s or Master’s degree in computer science, Data Science, or a related field.
• 1-2 years of practical experience in AI/ML and data science, with a proven track record in the field of Large Language Models (LLM) and Generative AI.
• Demonstrated experience in developing and implementing Agentic AI systems for context-aware and dynamic solutions.
• Hands-on experience with RAG (Retrieval-Augmented Generation) techniques, including integrating external knowledge bases into generative AI workflows.
• Experience with MLOPS and building end to end model pipelines on any cloud environment.
• Excellent problem-solving skills and ability to work in a collaborative
  environment.