05 Oct
|
PwC Acceleration Center India
|
Bengaluru
05 Oct
PwC Acceleration Center India
Bengaluru
The Prospect
Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.
As a LLMOps + MLOps Manager you will lead client support work in data science and data and analytics engineering, overseeing teams that design, develop, and refine machine learning and large language model operations solutions within our Data and Analytics Engineering practice. As a Manager you will motivate and develop team members, direct project workstreams, and use sound judgment to guide delivery, coaching others to build skills while supporting client expectations. In this role at PwC, you will help translate advanced analytics, statistical modeling,
and data visualization into practical solutions for complex business challenges, while supporting work across cloud engineering, data, analytics, and AI capabilities at PwC Acceleration Center India.
Responsibilities
• Leading LLMOps and MLOps workstreams across model lifecycle planning, deployment, monitoring, and retraining
• Managing client-facing data science engagements and aligning delivery plans with project scope, timelines, and budget
• Guiding teams in building machine learning pipelines, data models, and automated workflows for AI-driven solutions
• Reviewing technical deliverables for model performance, data quality, and operational readiness across production environments
• Applying cloud engineering and analytics tools to scale machine learning systems and improve deployment repeatability
• Coaching team members on AI fluency, data science methods, and troubleshooting approaches for
📌 LLMOps + MLOps (Bengaluru)
🏢 PwC Acceleration Center India
📍 Bengaluru