•    Minimum 12+ years of relevant experience in building software applications in data and analytics field
•    Enhance the go-to-market strategy by designing new and relevant solution frameworks to accelerate our clients’ journeys for impacting patient outcomes. Pitch for these opportunities and craft winning proposals to grow the Data Science Practice.
•    Build and lead a team of data scientists and analysts, fostering a collaborative and innovative environment.
•    Oversee the design and delivery of the models, ensuring projects are completed on time and meet business objectives.
•    Engaging in consultative selling with clients to grow/deliver business.
•    Develop and operationalize scalable processes to deliver on large & complex client engagements.     
•    Extensive hands-on experience with Python, R, or Julia, focusing on data science and generative AI frameworks.
•    Expertise in working with generative models such as GPT, DALL-E, Stable Diffusion, Codex, and MidJourney for various applications.
•    Proficiency in fine-tuning and deploying generative models using libraries like Hugging Face Transformers, Diffusers, or PyTorch Lightning.
•    Strong understanding of generative techniques, including GANs, VAEs, diffusion models, and autoregressive models.
•    Experience in prompt engineering, zero-shot, and few-shot learning for optimizing generative AI outputs across different use cases.
•    Expertise in managing generative AI data pipelines, including preprocessing large-scale multimodal datasets for text, image, or code generation.