Associate 2

About the Role

Join PwC's Acceleration Center India to shape the future of business for a diverse client portfolio. You will work within global teams across Advisory, Assurance, Tax, and Business Services, solving client challenges through collaboration. This role offers hands-on learning, cutting-edge tools, and an inclusive culture to do inspiring work that makes a difference. 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 the Technology Consulting practice, you will focus on building robust data infrastructure and systems for efficient data processing and analysis. You will contribute to client engagements, developing your skills and knowledge to deliver quality work, build client connections, manage and inspire others, and grow your personal brand.

Key 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.

Requirements & Tech Stack

• 2+ years of experience.
• Oral and written proficiency in English.
• Experience developing and deploying machine learning applications.
• Understanding of 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.

Qualifications

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

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.