LLMOps + MLOps - Senior Associate

PwC Acceleration Center India; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

PwC Acceleration Center India is seeking an LLMOps + MLOps Senior Associate to design, deploy, monitor, and maintain AI solutions that translate data into business insights. You will collaborate with global teams across Advisory, Assurance, Tax, and Business Services, guiding projects and junior members within the Data and Analytics Engineering practice.

You will apply statistics, modeling, and data engineering to deliver scalable automation and reliable AI-driven outcomes for diverse client

Qualifications

• Bachelor's degree required.
• At least 4 years of experience.
• English proficiency required.

Responsibilities

• Develop and deploy LLMOps and MLOps workflows for model training, testing, deployment, and monitoring across client solutions.
• Translate data science requirements into scalable automation, orchestration, and lifecycle management approaches.
• Apply statistical analysis and data engineering techniques to improve model performance and reliability.
• Support client engagements by gathering requirements, interpreting feedback, and shaping implementation plans.
• Build data pipelines and data quality controls for ML use cases and AI solutions.
• Evaluate model behavior, retraining needs, and drift signals using monitoring tools.
• Document technical decisions, design, and deployment steps for reuse across projects.
• Mentor junior team members in ML workflows, AI tooling, and delivery methods.

Skills

English proficiency

Client communication

Mentoring

Cross-functional collaboration

Education

Bachelor's degree

Tools

LLMOps

MLOps

Data pipelines

Model monitoring

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 an LLMOps + MLOps Senior Associate, you will support the design, deployment, monitoring, and upkeep of AI solutions that turn data into actionable insights and help teams address complex business questions. As a Senior Associate you will build meaningful client connections, manage assigned workstreams, guide junior team members, and navigate ambiguity while deepening your technical skills and business context within our Data and Analytics Engineering practice. In this role at PwC Acceleration Center India, you will apply data science methods, statistical modeling, visualization, and professional judgment to support client work across AI-driven automation and cognitive solutions.

Responsibilities

• Developing and deploying LLMOps and MLOps workflows that support model training, testing, deployment, and monitoring across client solutions
• Translating advanced data science and machine learning requirements into scalable automation, orchestration, and lifecycle management approaches
• Applying statistical analysis, predictive modeling, and data engineering techniques to improve model performance and operational reliability
• Supporting client engagements by gathering technical requirements, interpreting feedback, and shaping practical implementation plans
• Building data pipelines and data quality controls that support machine learning use cases and AI-enabled solutions
• Evaluating model behavior, retraining needs, and drift signals by using monitoring tools and analytical methods
• Documenting technical decisions, solution design, and deployment steps to support transparency and reuse across project workstreams
• Mentoring junior team members on machine learning workflows, AI tooling, and delivery methods while contributing to team development

What You Must Have

• At least a Bachelor's degree
• At least 4 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
• Demonstrating LLMOps and MLOps delivery across client engagements
• Utilizing AI tooling, data pipelines, and model monitoring
• Interpreting data to guide recommendations and delivery priorities
• Building client connections while navigating ambiguity and change
• Mentoring junior team members through complex technical work