Senior Associate - Quality Assurance and Software Testing

PriceWaterhouseCoopers Pvt Ltd ( PWC ); Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

PwC Bengaluru is seeking an experienced Manager in AI/ML to lead end-to-end ML/AI projects, design RAG systems, and deploy GenAI models. You will guide the team, mentor colleagues, and collaborate with stakeholders across disciplines.

You will drive time-series forecasting, scalable deployments, and governance frameworks while staying ahead of AI trends and evaluating new tools for client solutions.

Qualifications

• Build end-to-end ML/AI pipelines from data to deployment
• Develop and deploy ML, Deep Learning, NLP, and GenAI models in production
• Design and implement RAG systems — retrieval, chunking, embeddings, vector search, and prompt engineering
• Build Agentic AI solutions — autonomous agents, multi-agent workflows, tool-calling, planning, and memory
• Build and optimize time series forecasting models (demand forecasting, inventory planning)
• Implement MLOps pipelines — CI/CD, model monitoring, drift detection, governance
• Collaborate with data scientists, product managers, engineers, and business stakeholders in Agile teams
• Debug, optimize, and enhance ML models for quality and performance improvements
• Mentor team members and present technical findings to diverse audiences
• Stay current with AI/GenAI trends and evaluate emerging tools and frameworks

Responsibilities

• Build end-to-end ML/AI pipelines (data → model → deployment → monitoring)
• Develop and deploy ML, Deep Learning, NLP, and GenAI models in production
• Design and implement RAG systems — retrieval, chunking, embeddings, vector search, and prompt engineering
• Build Agentic AI solutions — autonomous agents, multi-agent workflows, tool-calling, planning, and memory
• Build and optimize time series forecasting models (demand forecasting, inventory planning)
• Implement MLOps pipelines — CI/CD, model monitoring, drift detection, governance
• Collaborate with data scientists, product managers, engineers, and business stakeholders in Agile teams
• Debug, optimize, and enhance ML models for quality and performance improvements
• Mentor team members and present technical findings to diverse audiences
• Stay current with AI/GenAI trends and evaluate emerging tools and frameworks

Skills

End-to-end ML/AI pipelines

MLOps CI/CD

RAG systems design

Agentic AI solutions

Time series forecasting

Education

Bachelor’s or Master’s degree in Computer Science or Engineering

Tools

Java Selenium

Java Testing

Job description

IN_Manager_AI/ML Engineer_GCC_Advisory_Bangalore Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other.

Equal Employment Opportunities

We believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Responsibilities

• Build end-to-end ML/AI pipelines (data → model → deployment → monitoring)
• Develop and deploy ML, Deep Learning, NLP, and GenAI models in production
• Design and implement RAG systems — retrieval, chunking, embeddings, vector search, and prompt engineering
• Build Agentic AI solutions — autonomous agents, multi-agent workflows, tool-calling, planning, and memory
• Build and optimize time series forecasting models (demand forecasting, inventory planning)
• Implement MLOps pipelines — CI/CD, model monitoring, drift detection, governance
• Optimize models for performance, cost, and latency
• Integrate AI systems with enterprise APIs, data platforms, and customer-facing applications
• Design scalable LLM inference architectures for efficient deployment
• Collaborate with data scientists, product managers, engineers, and business stakeholders in Agile teams
• Debug, optimize, and enhance ML models for quality and performance improvements
• Mentor team members and present technical findings to diverse audiences
• Stay current with AI/GenAI trends and evaluate emerging tools and frameworks

Mandatory skill sets

• Build end-to-end ML/AI pipelines (data → model → deployment → monitoring)
• Develop and deploy ML, Deep Learning, NLP, and GenAI models in production
• Design and implement RAG systems — retrieval, chunking, embeddings, vector search, and prompt engineering
• Build Agentic AI solutions — autonomous agents, multi-agent workflows, tool-calling, planning, and memory
• Build and optimize time series forecasting models (demand forecasting, inventory planning)
• Implement MLOps pipelines — CI/CD, model monitoring, drift detection, governance
• Optimize models for performance, cost, and latency
• Integrate AI systems with enterprise APIs, data platforms, and customer-facing applications
• Design scalable LLM inference architectures for efficient deployment
• Collaborate with data scientists, product managers, engineers, and business stakeholders in Agile teams
• Debug, optimize, and enhance ML models for quality and performance improvements
• Mentor team members and present technical findings to diverse audiences
• Stay current with AI/GenAI trends and evaluate emerging tools and frameworks

Preferred skill sets

• Build end-to-end ML/AI pipelines (data → model → deployment → monitoring)
• Develop and deploy ML, Deep Learning, NLP, and GenAI models in production
• Design and implement RAG systems — retrieval, chunking, embeddings, vector search, and prompt engineering
• Build Agentic AI solutions — autonomous agents, multi-agent workflows, tool-calling, planning, and memory
• Build and optimize time series forecasting models (demand forecasting, inventory planning)
• Implement MLOps pipelines — CI/CD, model monitoring, drift detection, governance
• Optimize models for performance, cost, and latency
• Integrate AI systems with enterprise APIs, data platforms, and customer-facing applications
• Design scalable LLM inference architectures for efficient deployment
• Collaborate with data scientists, product managers, engineers, and business stakeholders in Agile teams
• Debug, optimize, and enhance ML models for quality and performance improvements
• Mentor team members and present technical findings to diverse audiences
• Stay current with AI/GenAI trends and evaluate emerging tools and frameworks

Years of experience required

7-12 years

Education qualification

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (60% above)

Required Skills

Java Selenium, Java Testing

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity {+ 46 more}

Desired Languages

Not Specified

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

July 22, 2026

Experience Level

Mid Level