LLMOps + MLOps - Manager
Pwc (Crm Experienced Careers Site) Open · verified Oct 22, 2026 At a glance
Manager-level ML Platform & Ops role at Pwc (Crm Experienced Careers Site). Bangalore · full-time.
Pay not stated ML Platform & Ops salary
aimlroles summary, based on the employer's posting.
What you'll do
- Lead model operations from lifecycle planning through deployment, monitoring and retraining across client workstreams
- Shape delivery plans around each engagement’s scope, schedule and budget, then guide teams through execution
- Review production solutions for model performance, data quality and readiness, including pipelines, data models and automated workflows
- Coach teammates on AI, data science and troubleshooting while translating client needs into practical machine learning solutions
- Improve monitoring and orchestration practices, document recommendations, and resolve delivery risks with business and technology partners
What you bring
- A bachelor’s degree and at least eight years of professional experience
- Strong spoken and written English
- Experience leading LLMOps and MLOps delivery and guiding data science teams through project planning and execution
Who this fits
This manager role suits someone who can lead client-facing machine learning operations work and develop team members. The role is based in Bangalore, India.
From the employer
Industry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
ManagerJob Description & Summary
The Opportunity
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 complex implementation issues
- Translating business needs into practical machine learning solutions that support decision-making and operational improvement
- Identifying opportunities to refine model monitoring, orchestration, and lifecycle management practices across client projects
- Developing documentation and technical recommendations that support adoption of machine learning and generative AI capabilities
- Collaborating with technology and business stakeholders to address risks, dependencies, and delivery challenges
What You Must Have
- At least a Bachelor's degree
- At least 8 years of experience
- Oral and written proficiency in English required
What Sets You Apart
- Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
- Managing LLMOps and MLOps delivery across client engagements
- Leading data science teams through planning, execution, and delivery
- Applying machine learning, deep learning, and NLP techniques
- Translating complex system interactions into clear delivery plans
- Mentoring teammates while validating quality, timelines, and standards
Travel Requirements
Not SpecifiedJob Posting End Date