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Mumbai · On-site · 3-6 Yrs · Sep 28
Accounting & Tax · 10000+ Employees · New York, US
Hiring: Engineering
What employees say
+ You get to learn a lot there, and I had an opportunity to work in the client location.
− Career and financial growth is slower.
More reviews on the company profile.
Interview experience · Summer Associate
2 interviews and an HR round Had one case interview and one interview about Indian defense Policy and strategy The case interview had 2 parts with one small presentaion towards the end The HR round was standart more l
Average difficulty · Bengaluru · 2,675 reports
More interview insightsJob description
Overview
Data, Analytics & AI
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
- 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
- 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
Qualifications
- 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}
- Desired Languages
- (If blank, desired languages not specified)
- Travel Requirements
- Not Specified
- Available for Work Visa Sponsorship?
- Government Clearance Required?
- Job Posting End Date
- July 23, 2026
Education
- BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)
- Degrees/Field of Study required: Bachelor of Engineering, Bachelor of TechnologyDegrees/Field of Study preferred:
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Job application FAQ
Last updated 3 October 2026
- How do I apply for IN_Senior Associate_AI ML Engineer_GCC_Advisory_Mumbai at PWC?
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- Is IN_Senior Associate_AI ML Engineer_GCC_Advisory_Mumbai remote or on-site in Mumbai, Maharashtra?
- This listing is marked on_site with location Mumbai, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this IN_Senior Associate_AI ML Engineer_GCC_Advisory_Mumbai role at PWC?
- Key skills for this role include skills listed in the job description. Upload a resume to see which requirements you already meet and which are gaps.