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IN-Associate_GEN AI_D&A _Advisory_Mumbai

Pwc

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2 days ago

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Location
Mumbai Shivaji Park, India
Type
Full-time
Department
Management
Seniority
Entry
Education
Master
Clearance
Required
Closing date
Today
Source
Workday

Description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

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 
.
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. 

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 Engineering

Certifications (if blank, certifications not specified)

Required Skills

Microsoft Azure, PySpark

Optional 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, 2026

Skills

PythonJavaScriptReactDjangoFlaskFastAPIAWSAzureGCPKubernetesJenkinsCI/CDHadoopAirflowDatabricksData EngineeringGitAgileDevOps