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

PwC

Bengaluru

Sur place

INR 1 500 000 - 2 100 000

Plein temps

Il y a 2 jours

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Résumé du poste

PwC Bengaluru is seeking a Senior Associate in Data, Analytics & AI to design and deploy data and AI solutions. You will build ML models, create scalable data pipelines, and work with clients to deliver AI projects in a cloud environment.

The role emphasizes collaboration with data engineers, MLOps practices, and governance considerations. A strong technical foundation and cross-functional communication are essential.

Qualifications

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

Responsabilités

Build and deploy ML models for classification, regression, NLP, and CV use cases.
Conduct data exploration, feature engineering, model training and evaluation.
Collaborate with data engineers to develop robust data pipelines and productionize models.
Deliver AI projects for clients in the AI/ML space.
Contribute to reusable assets, accelerators and internal capabilities.
Develop and deploy AI solutions on cloud platforms using MLOps and containers.

Connaissances

AI/ML engineering

Python

PyTorch/TensorFlow

GenAI/Agentic frameworks

Cloud-native AI services

Vector databases

RAG pipelines

Prompt engineering

Autonomous agents

Communication & stakeholder mgmt

Formation

BE/B.Tech or higher

MBA/MCA or equivalent

Outils

Azure DevOps

AWS

GCP Vertex AI

Azure ML

AWS SageMaker

Databricks

Apache Airflow

Azure Data Factory

Databases/DBMS

Description du poste

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.

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

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.

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

Required Skills