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

Price Waterhouse Cooper LLP; Bengaluru; Sur place; INR 1 200 000 - 1 800 000; Plein temps

Résumé du poste

PwC India is seeking an experienced AI/ML Engineer to design and implement data-driven solutions for clients, focusing on scalable data pipelines and robust ML models. You will collaborate with data engineers to deploy models into production and deliver AI projects across industries on cloud platforms.

The role requires hands-on expertise in Python, PyTorch/TensorFlow, GenAI frameworks, and cloud services, with a strong emphasis on cross-functional collaboration and stakeholder communication

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.

Responsabilités

• Build and deploy ML 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

Connaissances

AI/ML engineering

Python

PyTorch/TF

GenAI frameworks

Cloud services

Vector databases

RAG pipelines

Agentic AI

Formation

Bachelor of Engineering

Outils

Azure DevOps

Description du poste

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 foreach 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.

• 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

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 foreach 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.

• 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?

No

Government Clearance Required?

No

Job Posting End Date

June 15, 2026