At PwC our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance quality control and data integration to support business operations.
In data quality assurance at PwC you will be responsible for the accuracy and reliability of data through testing and validation processes. You will play a crucial role in maintaining data integrity and identifying areas for improvement in data management systems.
Why PWC
programmes and mentorship that will help you thrive in work and life. Together we grow learn care collaborate and create a future of infinite experiences foreach other. Learn more about us
At PwC we believe in providing equal employment opportunities without any discrimination on the grounds of gender ethnic background age disability marital status sexual orientation pregnancy gender identity or expression religion or other beliefs perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.
Job Description & Summary: A career within.
A career within Data and Analytics services will provide you with the prospect to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities including business intelligence data management and data assurance that help our clients drive innovation growth and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data understand and navigate risk and help our clients gain a competitive edge.
Responsibilities:
Design RAG/LLM pipelines for experiment management model management feature management and model retraining.
- Design APIs for model inferencing at scale.
- Proven expertise with MLflow SageMaker VertexAI and AzureAI.
- LLM Serving & GPUArchitecture: Deep knowledge of GPUarchitectures distributed training and serving of large language models.
- Model Fine-Tuning & Optimization: Improve latencies accuracies and reduce resource requirements for fine-tuning LLM/LVM models.
- DevOps & LLMOps Proficiency: Expertise in Kubernetes Docker Container Orchestration and LLM orchestration frameworks (Flowise Langflow Langgraph).
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Technology
Degrees/Field of Study preferred:
Certifications (if blank certifications not specified)
Required Skills
Playwright
Optional Skills
Accepting Feedback Accepting Feedback Active Listening Analytical Thinking Coaching and Feedback Communication Creativity Database Administration Database Management System (DBMS) Database Performance Management Database Quality Assurance Database Troubleshooting Data Error Checking Data Integrity Data Management Data Management Plan (DMP) Data Management Platform (DMP) Data Profiling Data Quality Data Quality Assessment Data Quality Assurance Testing Data Quality Automation Data Quality Improvement Plans (DQIP) Data Science Troubleshooting Data Warehousing Quality Assurance 23 more
Desired Languages (If blank desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship
No
Government Clearance Required
No
Job Posting End Date
September 3 2026
Required Experience:
Senior Manager
📌 INSenior ManagerAI ArchitectData and Analytics Advisory Chennai
🏢 PricewaterhouseCoopers
📍 Chennai
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