Cloud AI Lead/Architect

Must have 15+ years of experience working in Data science, Machine learning and especially NLP technologies.
Must have experience with Agentic AI frameworks – LangGraph, LlamaIndex etc.
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 background in Clinical or Regulatory processes.
Strong understanding of cloud native application development in AWS / Azure.
Exposure to various LLM technologies and solid understanding of Transformer Encoder Networks.
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.
Solid understanding of Model development, model serving, training/re-training techniques in a data sparse environment.
Very good understanding of Prompt engineering techniques in developing Instruction based LLMs