Gen AI Engineer

Job Description

Responsibilities Develop and implement advanced machine learning and deep learning models with a focus on large language models (LLMs) to solve complex NLP challenges Use tools and frameworks such as Hugging Face, LangChain, and custom API designs to build, train, and optimize machine learning models for scalable and high-performance applications Apply RAG techniques to improve model performance by integrating external data sources and working with vector databases for enhanced context-aware generation Integrate OpenAI APIs, Gemini APIs, and other relevant technologies to augment model capabilities and enhance natural language understanding and generation Stay up-to-date with the latest advancements in NLP, machine learning, and deep learning to ensure the development of cutting-edge, efficient solutions Focus on model optimization, fine-tuning, and performance enhancement for practical deployment in real-world applications Collaborate with cross-functional teams to design, implement, and deploy LLM-based solutions, ensuring detailed documentation for future reference and knowledge sharing Requirements Develop and implement machine learning and deep learning models with a focus on large language models (LLMs) Utilize tools and frameworks such as Hugging Face, LangChain, and API Design to build and optimize models Apply Retrieval-Augmented Generation (RAG) techniques and work with vector databases Integrate OpenAI APIs, Gemini APIs, and other related technologies to enhance model functionality Stay current with the latest advancements in natural language processing (NLP) and machine learning (ML) to maintain cutting-edge solutions Qualification Bachelors degree in Computer Science/ Graduation or Post Graduate