IN_Senior Associate_AI/ML Engineer_GCC_Advisory_Gurgaon

Price Waterhouse Cooper LLP; Gurugram District; On-site; INR 3,000,000 - 5,400,000; Full time

Job summary

PwC in India seeks a Senior AI/ML Engineer to design, build, and deploy scalable ML, GenAI, and Agentic AI systems across cloud environments, with a strong focus on productionization, automation, and business impact. You'll work on demand forecasting, RAG-based intelligent applications, autonomous multi-agent workflows, and enterprise AI integration.

You will collaborate with data scientists, product managers, engineers, and business stakeholders in Agile teams, mentoring junior members and

Qualifications

• Production-ready ML/GenAI systems experience.
• Design and implement RAG systems with vector search.
• Autonomous agents and multi-agent workflows experience.
• Time series forecasting and inventory planning expertise.
• Strong collaboration with data scientists and engineers.

Responsibilities

• Develop and deploy ML, Deep Learning, NLP, and GenAI models in production.
• Design RAG systems and prompt engineering for real-time use cases.
• Build Agentic AI solutions with autonomous agents and memory.
• Optimize models for performance, cost, and latency.
• Integrate AI systems with enterprise APIs and data platforms.
• Mentor team members and present findings to stakeholders.

Skills

ML production

GenAI systems

Agentic AI

RAG systems

Time series forecasting

Performance optimization

Enterprise API integration

Agile collaboration

Mentoring

AI trends evaluation

Education

Bachelor's or Master’s in CS/Engineering

MBA

Bachelor of Engineering

Tools

JAAS

Java Spring

Job description

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.

WhyPWC

AtPwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 foreach other. Learn more

about us

AtPwC, 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

• 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)
• Optimize models for performance, cost, and latency
• Integrate AI systems with enterprise APIs, data platforms, and customer-facing applications
• 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

• 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)
• Optimize models for performance, cost, and latency
• Integrate AI systems with enterprise APIs, data platforms, and customer-facing applications
• 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

• 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)
• Optimize models for performance, cost, and latency
• Integrate AI systems with enterprise APIs, data platforms, and customer-facing applications
• 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

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

Degrees/Field of Study preferred:

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}