GenAI Python Systems Engineer – Experienced Associate

PwC•Tampa, FL

3d•$63,000 - $140,000•Remote

About The Position

The Opportunity As a GenAI Python Systems Engineer – Experienced Associate, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients, transforming raw data into actionable insights that drive business growth. Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale, enabling informed decision-making and innovation. As an Associate, you will focus on learning and contributing to client engagements while developing your skills and knowledge to deliver quality work. You will adapt to working with a variety of clients and team members, each presenting unique challenges and opportunities for growth. You are expected to take ownership and consistently deliver work that drives value for our clients and success as a team, building a personal brand and opening doors to more opportunities. In this role at PwC, you will engage in designing AI systems, data wrangling, and software implementation to enable scalable AI models. You will be part of a fast-paced environment, where every experience is an opportunity to learn and grow, contributing to the firm's success and your professional development.

Requirements

At least a Bachelor's degree
At least 1 years of experience

Nice To Haves

Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
Demonstrating proficiency in Python and Scikit-Learn for machine learning
Utilizing AI implementation skills in client-facing projects
Engaging in complex data analysis and data modeling
Applying machine learning libraries to enhance data-driven solutions
Adapting to fast-paced environments with diverse client needs

Responsibilities

Designing and implementing AI systems using Python and machine learning libraries such as Scikit-Learn
Developing data pipelines and models to transform raw data into actionable insights for clients
Collaborating with team members to support AI-driven automation and cognitive solutions
Conducting complex data analysis to discern patterns and inform decision-making
Applying programming languages to build scalable AI and machine learning solutions
Confirming data quality and integrity throughout the development process
Engaging in active listening and accepting feedback to enhance personal growth and team performance
Building commercial awareness by understanding how the business works and its impact on client solutions
Upholding professional and technical standards, including the Firm's code of conduct and independence requirements