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, effective 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

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📌 Gen Ai Engineer Bengaluru
🏢 Kefi Tech Solutions
📍 Bengaluru