Industry/Sector

Specialism

Management Level

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 designing and developing data solutions that transform raw data into actionable insights, driving informed decision-making and business growth. Within our Technology Consulting practice, you will focus on building robust data infrastructure and systems, enabling efficient data processing and analysis. As an Associate, you will contribute to client engagements and projects, developing your skills and knowledge to deliver quality work. You will learn to build meaningful client connections, manage and inspire others, and grow your personal brand by deepening your technical skills and understanding your strengths.

In this role at PwC Acceleration Center India, you will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. You will adapt to working with diverse clients and team members, each presenting unique challenges and opportunities for growth. By taking ownership and consistently delivering quality work, you will drive value for our clients and success as a team. Embrace the opportunity to learn and grow in a fast-paced environment, where every experience contributes to your professional development and opens doors to future opportunities.

Responsibilities

- Develop and implement machine learning models for GenAI projects

- Collaborate with cross-functional teams to identify key opportunities

- Leverage knowledge to create innovative solutions for operational enhancement

- Analyze data to inform model development and performance

- Mentor junior team members in machine learning techniques

- Align projects with strategic business goals

- Monitor project progress and adjust strategies as needed

- Communicate findings and insights to stakeholders effectively

What You Must Have

- Bachelor's or Master's Degree in Computer Science, Data Science, Statistics, or a related field

- 2+ years of experience

- Oral and written proficiency in English required- 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

What Sets You Apart

- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Demonstrating proficiency in data engineering platforms like Databricks
- Utilizing cloud platforms such as AWS and Microsoft Azure
- Applying knowledge of data warehouse solutions like Snowflake
- Engaging with Agile methodologies for scalable data solutions
- Developing skills in data modeling and data pipeline optimization
- Excelling in active listening and feedback integration for team success

Travel Requirements

Job Posting End Date