IN-Associate_GEN AI_D&A _Advisory_Mumbai
PriceWaterhouseCoopers Pvt Ltd ( PWC )Job Description
IN-Associate_GEN AI_D&A _Advisory_Mumbai
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
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.
Job Description & Summary: A career within….
Responsibilities:
Develop and deploy AI-based applications leveraging LLMs and Generative AI models like GPT, Gemini, or similar frameworks
Build scalable backend systems using Python, ensuring seamless integration with UI/UX components
Design and optimize generative AI models to address diverse business challenges
Fine-tune pre-trained LLMs to align with specific use cases
Work closely with cross-functional teams, including data scientists, UI/UX developers, and product managers, to deliver robust solutions
Collaborate with clients to gather requirements and develop customized AI capabilities
Deploy solutions on cloud platforms (Azure, AWS, or GCP) and ensure system scalability and performance
Mandatory skill sets:
Proficiency in Python for application development
Experience working with Generative AI frameworks and libraries (e.g., Hugging Face, OpenAI API, LangChain)
Strong knowledge of LLMs and fine-tuning techniques
Experience with RAG (Retrieval-Augmented Generation) techniques & Agentic workflow
Hands-on experience with Python web frameworks like Flask, FastAPI, or Django
Familiarity with cloud platforms (Azure, AWS, or GCP) for deployment and scaling
Frontend development skills (HTML, JavaScript, React)
Strong problem-solving and debugging skills
Experience with version control systems such as Git/Bitbucket
Understanding of MLOps frameworks for model lifecycle management
Preferred skill sets:
Exposure to DevOps culture with hands on experience in Jenkins for CI/CD would be added advantage.
Knowledge on containerization utilizing Dockers and Kubernetes will be added advantage
Years of experience required:
4 – 7 yrs
Education qualification:
B.tech/MBA/MCA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: MBA (Master of Business Administration)Degrees/Field of Study preferred: Bachelor of EngineeringCertifications (if blank, certifications not specified)
Required Skills
Microsoft Azure, PySparkOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Data Anonymization, Data Architecture Development, 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, Data Quality, Data Strategy {+ 22 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
March 31, 2026Experience Level
Senior LevelJob role
Job requirements
About company
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