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PwC Service Delivery Center
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IN Senior Associate GenAI S/W Engineer-- Data and Analytics

IN Senior Associate GenAI S/W Engineer-- Data and Analytics

PwC Service Delivery Center

3 - 7 years

12 - 13 Lacs

Bengaluru

Posted:4 hours ago| Platform:

Apply

Skills Required

Front end Data modeling Machine learning Database administration Agile SDK DBMS Apache SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

& 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 decisionmaking 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

& Summary

Job Title GenAI S/W Engineer Location Bengaluru, Gurugram Job Type FullTime Full Stack Developer with Gen AI & Cloud Expertise Position Title Full Stack Lead Developer Experience 37 Years Job Overview We are seeking a highly skilled and versatile polyglot Full Stack Developer with expertise in modern frontend and backend technologies, cloudbased solutions, AI/ML and Gen AI. The ideal candidate will have a strong foundation in fullstack development, cloud platforms (preferably Azure), and handson experience in Gen AI, AI and machine learning technologies. Key Responsibilities Develop and maintain web applications using Angular/React.js, .NET, and Python. Design, deploy, and optimize Azure native PaaS and SaaS services, including but not limited to Function Apps, Service Bus, Storage Accounts, SQL Databases, Key vaults, ADF, Data Bricks and REST APIs with Open API specifications.

Implement security best practices for data in transit and rest. Authentication best practices SSO, OAuth 2.0 and Auth0. Utilize Python for developing data processing and advanced AI/ML models using libraries like pandas, NumPy, scikitlearn and Langchain, Llamaindex, Azure OpenAI SDK Leverage Agentic frameworks like Crew AI, Autogen etc. Well versed with RAG and Agentic Architecture. Strong in Design patterns Architectural, Data, Object oriented Leverage azure serverless components to build highly scalable and efficient solutions. Create, integrate, and manage workflows using Power Platform, including Power Automate, Power Pages, and SharePoint. Apply expertise in machine learning, deep learning, and Generative AI to solve complex problems. Primary Skills Proficiency in React.js, .NET, and Python. Strong knowledge of Azure Cloud Services, including serverless architectures and data security. Experience with Python Data Analytics libraries o pandas o NumPy o scikitlearn o Matplotlib o Seaborn Experience with Python Generative AI Frameworks o Langchain

o LlamaIndex o Crew AI o AutoGen Familiarity with REST API design, Swagger documentation, and authentication best practices. Secondary Skills Experience with Power Platform tools such as Power Automate, Power Pages, and SharePoint integration. Knowledge of Power BI for data visualization (preferred). Preferred Knowledge Areas Nice to have Indepth understanding of Machine Learning, deep learning, supervised, unsupervised algorithms.

Mandatory skill sets

AI, ML

Preferred skill sets

AI, ML

Years of experience required

37 years

Education qualification

BE/BTECH, ME/MTECH, MBA, MCA

Education

Degrees/Field of Study required Bachelor of Technology, Master of Business Administration, Bachelor of Engineering

Degrees/Field of Study preferred

Required Skills

AI Programming

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, 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, Data Modeling, Data Pipeline {+ 28 more}

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IN Senior Associate GenAI S/W Engineer-- Data and Analytics