IN_Senior Associate_AI/ML Engineer_Data Analytics_Advisory_Mumbai

PwC; Mumbai City; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

PwC in Mumbai invites experienced AI/ML engineers to build and deploy ML models for classification, regression, NLP, and computer vision using cloud-based MLOps. You will explore data, engineer features, train models, and collaborate with data engineers to integrate solutions into production for clients.

We seek 3–8 years of hands-on AI/ML experience, proficiency in Python and major frameworks, and strong communication across geographies.

Qualifications

• 3+ years of experience in AI/ML engineering, with experience in working in a cloud environment.
• Proficiency in Python, PyTorch/TensorFlow, and GenAI/Agentic frameworks.
• Hands-on experience with cloud-native AI services (Azure ML, AWS SageMaker, GCP Vertex AI).
• Familiarity with vector databases (e.g., FAISS, Pinecone), RAG pipelines, and prompt engineering.
• Strong understanding of autonomous agents, orchestration, and multi-agent systems.
• Excellent communication and stakeholder management skills across geographies.

Responsibilities

• Build and deploy machine learning models for classification, regression, NLP, and computer vision use cases
• Conduct data exploration, feature engineering, model training, tuning, and performance evaluation
• Collaborate with data engineers to develop robust data pipelines and integrate models into production systems
• Work closely with client and deliver projects in the AI/ML space
• Contribute to reusable assets, accelerators, and internal capability building
• Develop and deploy AI solutions on cloud platforms (Azure/ AWS/GCP) using MLOps and containerization

Skills

Python

PyTorch/TensorFlow

GenAI/Agentic frameworks

Cloud AI services

Data manipulation

Communication across geographies

Education

BE/B.Tech, ME/M.Tech or MBA/MCA (60%+)

Tools

Snowflake Platform

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.

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.

Responsibilities

• Build and deploy machine learning models for classification, regression, NLP, and computer vision use cases
• Conduct data exploration, feature engineering, model training, tuning, and performance evaluation
• Collaborate with data engineers to develop robust data pipelines and integrate models into production systems
• Work closely with client and deliver projects in the AI/ML space
• Contribute to reusable assets, accelerators, and internal capability building
• Develop and deploy AI solutions on cloud platforms (Azure/ AWS/GCP) using MLOps and containerization

Mandatory skill sets

• 3+ years of experience in AI/ML engineering, with experience in working in a cloud environment
• Proficiency in Python, PyTorch/TensorFlow, and GenAI/Agentic frameworks
• Hands-on experience with cloud-native AI services (Azure ML, AWS SageMaker, GCP Vertex AI)
• Familiarity with vector databases (e.g., FAISS, Pinecone), RAG pipelines, and prompt engineering
• Strong understanding of autonomous agents, orchestration, and multi-agent systems
• Excellent communication and stakeholder management skills across geographies

Preferred skill sets

• Certifications in cloud platforms and AI/ML technologies
• Exposure to enterprise-grade AI use cases in BFSI, healthcare, retail, or manufacturing
• Knowledge of Responsible AI, data governance, and compliance frameworks
• Exposure to Agentic AI, Gen AI

Years of experience required

3 to 8 years

Education qualification

BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)

Degrees/Field of Study required

Bachelor of Technology, Bachelor of Engineering

Required Skills

• Snowflake (Platform)

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