Generative AI, NLP, LAMA Model, AWS Sagemaker, FineTuning LLMs

Role & responsibilities

• Design and develop Generative AI solutions using Large Language Models (LLMs).
• Fine-tune, customize, and optimize foundation models for domain-specific use cases.
• Build and deploy NLP and conversational AI applications such as chatbots, virtual assistants, and document intelligence systems.
• Develop RAG (Retrieval Augmented Generation) pipelines using vector databases.
• Work with AWS SageMaker for model training, deployment, monitoring, and MLOps workflows.
• Implement prompt engineering strategies to improve model performance and output quality.
• Evaluate and optimize model accuracy, latency, scalability, and cost.
• Integrate AI services with enterprise applications through APIs and microservices.
• Collaborate with data scientists, software engineers, and business stakeholders to deliver AI-driven solutions.
• Stay updated with advancements in Generative AI, LLMs, and emerging AI technologies.