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.
- 12+ 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#.
- 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.

Experience developing and deploying machine learning applications in production environments.
- Understanding data privacy and compliance regulations.
- Relevant certifications in data science or GenAI technologies.

Nice to Have Skills:

- Experience with Azure AI Search, Azure Doc Intelligence,



Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock.
- Experience in chatbot design, frontend and development.
- 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.

-Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Langgraph Semantic Kernel, etc.
- Certification of cloud or Genai
- 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.

If you are passionate about GenAI technologies and have a proven track record in data science, join PwC US - Acceleration Center and be part of a dynamic team that is shaping the future of GenAI solutions. We offer a collaborative and innovative work workplace where you can make a significant impact.

Preferred Qualifications:

- BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA from reputed institute

📌 LLM Senior Manager (Bengaluru)
🏢 PwC
📍 Bengaluru