Data Scientist

Job Description

Key Responsibilities:

• Lead the design and implementation of innovative AI and machine learning solutions tailored for the healthcare sector, leveraging both structured and unstructured datasets.
• Develop, train, optimize, and deploy advanced Generative AI models, including Large Language Models (LLMs), with proficiency in frameworks such as PyTorch and tools like LangChain and VectorDBs.
• Establish and promote AI/ML best practices, ethical guidelines, and Responsible Use of AI (RUAI) protocols across projects to maintain compliance and data safety, especially handling sensitive healthcare data.
• Utilize cloud platforms including Azure, AWS, and GCP for scalable AI model development and deployment, ensuring high availability and performance.
• Collaborate closely with software engineering teams to productionize AI models using MLOps pipelines that enable robust and maintainable solutions.
• Design and conduct rigorous experiments, including A/B testing, statistical analyses, and data visualizations to validate model effectiveness and business impact.
• Drive cross-team knowledge sharing by communicating complex AI insights and results effectively to both technical and non-technical stakeholders to foster collaborative problem-solving.
• Stay abreast of emerging research and technologies in NLP, deep learning, and AI to continuously innovate and enhance product offerings.
• Manage large-scale proof-of-concept projects with a focus on prioritizing technology efforts for GenAI, NLP, ML, and AI in the healthcare context.
Lead or contribute to the creation of thorough documentation detailing AI development lifecycle, from data ingestion to deployment and maintenance, ensuring reproducibility and transparency.