Job Title

Key Responsibilities:- Derive and design use cases from structured and unstructured data. - Provide LLM expertise to solve AI problems using state-of-the-art language models and off-the-shelf LLM services such as OpenAI models. - Apply Retrieval-Augmented Generation (RAG) and relevant techniques to enhance LLM performance and capabilities. - Develop end-to-end machine learning pipelines, including model development, tuning, implementation, deployment, and MLOps. - Build and fine-tune transformer-based deep learning models. - Collaborate with business and product teams to develop and implement analytics-driven AI solutions. - Communicate findings and results to both technical and non-technical audiences. - Stay updated with the latest research and innovations in AI, ML, Deep Learning, and Generative AI.Mandatory Skills:- Python, Scikit-learn, PyTorch, Transformers, SQL, LangChain - Model building, hyperparameter tuning, performance evaluation, and deployment - Deep Learning / LLM model fine-tuning and evaluationGood to Have Skills:- LLMOps - Cloud experience (preferably AWS)Experience Mix:- AI / ML – 50% - Deep Learning – 25% - GenAI – Around 2 years - Computer Vision / Video Analytics – as part of DL and GenAI