Hi,

PFB and kindly connect and let me know if interested or Share your CV on [email protected] 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 rapid-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.

📌 LLM Healthcare Manager (Bengaluru)
🏢 PwC
📍 Bengaluru