Jobs Companies PwC Generative AI - Associate 2

À propos de ce poste Generative AI - Associate 2 chez PwC

PwC · Sur site · Bangalore

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Associate

Job Description & Summary

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As a Generative AI - Associate 2, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Data and Analytics Engineering practice, 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.

As an Associate, you will be driven by curiosity and contribute to client engagement and projects while developing your skills and knowledge to deliver quality work. You will be exposed to clients to learn how to build meaningful client connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources. You will embrace ambiguity, ask questions, and use these challenges as opportunities for growth.

In this role at PwC Acceleration Center India, you will adapt to working with a variety of clients and team members, each presenting unique challenges and scope. You will take ownership and consistently deliver quality work that drives value for our clients and success as a team.

Responsibilities

- Developing and implementing data pipelines to facilitate efficient data processing and analysis
- Designing data infrastructure and systems to support robust data solutions for clients
- Transforming raw data into actionable insights to drive informed decision-making and business growth
- Utilizing Azure Data Factory and Apache Airflow for scalable data integration and transformation solutions
- Applying data architecture development and dimensional modeling to enhance data strategy and quality
- Managing database optimization and security best practices to maintain data integrity
- Collaborating with team members to address diverse client challenges and scope
- Adapting to fast-paced environments and taking ownership of tasks to deliver quality work
- Building a personal brand through consistent contributions and learning opportunities
- Engaging in active listening and accepting feedback to foster personal growth and development

What You Must Have

- At least a Bachelor's degree
- At least 2 years of experience
- Oral and written proficiency in English required

What Sets You Apart

- Experience developing and deploying machine learning applications

- Understanding data privacy and compliance regulations

- Hands-on experience with fine-tuning and quantization of LLMs & RAG

- Proven experience in chatbot design and development

- Practical knowledge of ML/DL frameworks such as TensorFlow, PyTorch, and scikit-learn

- Skilled in object-oriented programming with languages such as Java, C++, or C#

- Relevant certifications in GenAI tools and technologies preferred

- Experience in implementing Model Context Protocol (MCP) preferred

Travel Requirements

Not Specified

Job Posting End Date

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À propos de PwC

Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

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