LLMOps + MLOps - Senior Associate
Pwc (Crm Experienced Careers Site) Open · verified Oct 22, 2026 At a glance
Senior ML Platform & Ops role at Pwc (Crm Experienced Careers Site). Bangalore (SDC) - Bagmane Tech Park · full-time.
Pay not stated ML Platform & Ops salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build workflows that take machine-learning models through training, testing, release and ongoing checks for client solutions
- Turn advanced ML requirements into scalable automation, orchestration and lifecycle management approaches
- Use statistical analysis, predictive models and data engineering to improve model performance and reliability
- Gather client technical needs and feedback, then shape practical implementation plans and build supporting data pipelines
- Track model behavior, drift and retraining needs, document deployment decisions, and coach junior teammates
What you bring
- You have at least a bachelor's degree and four years of professional experience
- You can communicate proficiently in English, both in writing and conversation
Who this fits
This senior associate role suits someone who can handle client workstreams, adapt to ambiguity, and support junior colleagues on technical delivery. The role is based in PwC’s Acceleration Center India.
From the employer
Industry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob 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 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
Travel Requirements
Not SpecifiedJob Posting End Date