IN-Senior Associate_GenerativeAI Engineer_OC-Data & Analytics_Advisory_Bhubaneswar
PricewaterhouseCoopersLine of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob 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, 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:
Design, implement, and deploy generative AI models (GPT, VAEs, GANs) to solve complex problems. Optimize models for performance, scalability, and efficiency. Build RAG (Retrieval-Augmented Generation) pipelines and integrate vector databases (Chroma DB, PineCone, FAISS). Conduct research to apply the latest breakthroughs in NLP and computer vision. Collaborate with data scientists and engineers to integrate AI capabilities into existing products.
Mandatory skill sets:
LangChain, Langgraph, RAG,L Lama
Preferred skill sets:
LangChain, Langgraph, RAG,L Lama
Years of experience required:
2 to 10 years
Education qualification:
Graduate Engineer or Management Graduate
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor Degree, Master Degree Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Microsoft AzureOptional Skills
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}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
April 9, 2026