LLM Healthcare Manager

Hi,

PFB Job description and kindly connect and let me know if interested or Share your CV on [email removed] or if you have any references it will be helpful.

Requirements:

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
• 7+ years of relevant technical/technology experience, with a focus on GenAI projects.
• Strong programming skills in languages such as Python, R, or Scala.
• Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with data preprocessing, feature engineering, and data wrangling techniques.
• Solid understanding of statistical analysis, hypothesis testing, and experimental design.
• Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud.
• Knowledge of data visualization tools and techniques.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to work in a fast-paced and dynamic environment.
• Experience with object-oriented programming languages such as Java, C++, or C#.
  Experience developing and deploying machine learning applications in production environments.
• Understanding data privacy and compliance regulations.
• Relevant certifications in data science or GenAI technologies.
• Development experience in system designing, proven track record of software delivery through all phases of development, critical thinking, ability to clearly communicate, present and lead.

Nice to Have Skills:

• Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock.
• Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Langgraph Semantic Kernel, etc.
• Experience in chatbot design, frontend and development.
• Certification of cloud or Genai
• Designed and implemented enterprise-grade GenAI solutions using Databricks Mosaic AI, enabling scalable LLM deployment and governance.
• Built Retrieval-Augmented Generation (RAG) pipelines using Mosaic AI Vector Search and Foundation Models for domain-specific knowledge querying.
• Fine-tuned and deployed LLMs using Mosaic AI Model Serving, optimizing inference latency and cost.
• Implemented secure LLM workflows with Unity Catalog governance and model tracking via MLflow.
• Strong background in the Healthcare domain, with deep understanding of Payer operations and working knowledge of Provider ecosystems.
• Experience in consulting engagements, including direct interaction with client stakeholders and managing client relationships.
• Demonstrated leadership experience managing and mentoring teams of 510 members.