Gen AI Engineer

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

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