IN_Senior Associate_AI/ML Engineer_GCC_Advisory_Gurgaon

PwC; Gurugram District; On-site; INR 1,600,000 - 2,600,000; Full time

Benefits offered by this job

Mentorship

Flexible work arrangements

Job summary

PwC is seeking a Senior AI/ML Engineer to design, build, and deploy scalable ML, GenAI, and Agentic AI systems across cloud environments with a focus on productionization and business impact. You will work on demand forecasting, RAG-based applications, autonomous multi-agent workflows, and enterprise AI integration.

Responsibilities include building end-to-end ML pipelines, deploying models in production, implementing MLOps, and mentoring teammates in an Agile setting.

Qualifications

• 4–12 years of experience in data/AI or related roles.
• Bachelor’s or Master’s in CS/Engineering; MBA and BE noted.
• Strong skills in end-to-end ML/AI pipelines and MLOps.
• Ability to design scalable LLM inference architectures.

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.

Skills

End-to-end ML/AI pipelines

ML/AI models in production

RAG systems

Agentic AI solutions

Time series forecasting

MLOps pipelines

Model optimization

API integration

LLM inference architectures

Agile collaboration

Mentoring

AI/GenAI trends awareness

Education

Bachelor’s or Master’s in CS/Engineering

MBA

Bachelor of Engineering

Tools

JAAS

Java Spring

Alteryx

Job description

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate 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. Learn more about us .

At PwC, 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.

Job Description & Summary:

We're looking for a Senior AI/ML Engineer who can design, build, and deploy scalable ML, GenAI, and Agentic AI systems across cloud environments with strong focus on productionization, automation, and business impact. You'll work across demand forecasting, RAG-based intelligent applications, autonomous multi-agent systems, and enterprise AI integration.

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:

4-12 years

Education qualification:

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

Degrees/Field of Study required:

MBA (Master of Business Administration), Bachelor of Engineering

Required Skills

Java Authentication and Authorization Service (JAAS), Java Spring

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, 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, Data Mining {+ 41 more}

Travel Requirements Not Specified

Available for Work Visa Sponsorship? No Government Clearance Required? No

Job Posting End Date

July 20, 2026

Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.