LLMOps + MLOps - Manager

PwC Acceleration Center India; Bengaluru; On-site; INR 4,200,000 - 6,200,000; Full time

Job summary

PwC Acceleration Center India seeks a seasoned LLMOps + MLOps Manager to lead client work in data science and analytics engineering. You will guide teams across model lifecycle planning, deployment, monitoring, and retraining while translating complex analytics into practical business solutions.

You will mentor staff, manage timelines and budgets, and collaborate with cloud, data, and AI capabilities to deliver scalable ML systems for diverse clients.

Qualifications

• At least a Bachelor's degree; 8+ years of experience.
• Strong English (oral and written) required.
• Experience leading LLMOps and MLOps delivery for client engagements.

Responsibilities

• Lead LLMOps and MLOps delivery across model lifecycle planning, deployment, monitoring and retraining.
• Manage client-facing data science engagements with aligned delivery plans.
• Guide teams in building ML pipelines and data models for AI-driven solutions.
• Review deliverables for performance, data quality, and operational readiness.
• Apply cloud engineering and analytics tools to scale ML systems.
• Mentor teammates on AI fluency and problem solving.
• Translate business needs into practical ML solutions.
• Refine monitoring, orchestration, and lifecycle practices.
• Develop documentation and recommendations for AI capabilities adoption.
• Collaborate with stakeholders on risks and delivery challenges.

Skills

Leadership

Data science

Project management

Mentoring

AI/ML strategy

Education

Bachelor's degree

Tools

Python

MLflow

GCP/AWS

Job description

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