Skill-Gen Ai 

•    Must have 10+ years of experience working in Data science, Machine learning and especially NLP technologies.
•    Solid understanding of Model development, model serving, training/re-training techniques in a data sparse environment.
•    Must have experience with Agentic AI frameworks – LangGraph, LlamaIndex, MCP etc.
•    Expert in using paid (OpenAI on Azure) and open source LLMs
•    Strong understanding of Agents development.
•    Experience with Python programming language in a must.
•    Ability to develop Python code as needed and train the Developers based on business needs.
•    Experience with AWS / Azure ecosystem is a must.
•    Preferable candidate should possess Pharma R&D background 
•    Strong understanding of cloud native application development in AWS / Azure.
•    Able to apply deep learning and generative modeling techniques to develop LLM solutions in the field of Artificial Intelligence.
•    Utilize your extensive knowledge and expertise in machine learning (ML) with a focus on generative models, including but not limited to generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer-based architectures.
•    Very good understanding of Prompt engineering techniques in developing Instruction based LLMs.
•    Must be able to design, and implement state-of-the-art generative models for natural language processing (NLP) tasks such as text generation, text completion, language translation, and document summarization.
•    Work with SAs and collaborate with cross-functional teams to identify business requirements and deliver solutions that meet the customer needs.
•    Passionate to learn and stay updated with the latest advancements in generative AI and LLM.
•    Nice to have -contributions to the research community through publications, presentations, and participation in relevant conferences or workshops.
•    Evaluate and preprocess large-scale datasets, ensuring data quality and integrity, and develop data pipelines for training and evaluation of generative models.
•    Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques followed.
•    Exposure to developing Guardrails for LLMs both with open source and cloud native models. 
•    Collaborate with software engineers to deploy and optimize generative models in production environments, considering factors such as scalability, efficiency, and real-time performance.
•    Nice to have- provide guidance to junior data scientists, sharing expertise and knowledge in generative AI and LLM, and contribute to the overall growth and success of the data science team.
•    Expert in RDBMS database
•    Experience on Marklogic / No SQL database
•    Experience on Elastic search