IN-Senior Associate_ AI/ML/Data Science _GCC_Advisory_ Bangalore

PwC is hiring an IN-Senior Associate_ AI/ML/Data Science _GCC_Advisory_ Bangalore. Level rates it ; you can apply on PwC.

Level's read on this job

On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
PwC mentions visa sponsorship in this posting.
Tools and skills the posting cites include Vertex AI, Pinecone and PyTorch.
Level lists 3,800+ other open roles at PwC.
The role was posted in the last few days.

AI in this role

vertex-aipineconepytorchtensorflowsagemakerdatabricks

prompt-engineeringragai-agentsml-opscomputer-visionnlpai-safety

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 engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

*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:

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

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 12 years

Education qualification:

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

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Azure Devops

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, AI Fluency, AI-Human Collaboration, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake {+ 30 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

June 15, 2026

How we rate this

IN-Senior Associate_ AI/ML/Data Science _GCC_Advisory_ Bangalore at PwC rates 87 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

IN-Senior Associate_ AI/ML/Data Science _GCC_Advisory_ Bangalore is an open job at PwC.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Bengaluru Millenia.
The job was posted on October 26, 2026.
Seniority: senior.
Applications are handled by PwC. Apply on PwC

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringRAGAI agentsML OpsComputer visionNLPAI SafetyVertex AI

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
How do you monitor a model once it's live, and how do you know it needs retraining?
Walk me through a computer vision problem you solved, from raw data to a deployed model.

Adapt your resume

List these exact terms on your resume: Prompt engineering, RAG, AI agents, ML Ops, and Computer vision. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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