Risk Architecture- Agentic AI and Machine Learning Developer- Senior Associate

PwC•Tampa, FL

8d•$77,000 - $202,000•Onsite

About The Position

The Opportunity As a Risk Architecture- Agentic AI and Machine Learning Developer- Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Risk Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. Your work will involve applying data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale, focusing on designing AI systems, data wrangling, and software implementation. As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing increased ambiguity. This role offers the opportunity to use a broad range of tools and methodologies to generate new ideas and solve problems, while developing a deeper understanding of the business context and how it is evolving.

Requirements

At least a Bachelor's degree
At least 2 years of experience

Nice To Haves

Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
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
Utilizing AI implementation and machine learning libraries like TensorFlow and Scikit-Learn
Demonstrating proficiency in programming languages such as Python and Java
Excelling in complex data analysis and data modeling techniques
Navigating ambiguity while building meaningful client connections
Developing insights through data interpretation and analytical thinking

Responsibilities

Designing and implementing AI and machine learning solutions to transform raw data into actionable insights
Developing scalable AI systems using advanced algorithms and software engineering techniques
Collaborating with clients to understand their needs and deliver tailored data solutions
Utilizing data wrangling and integration skills to prepare data for AI model deployment
Applying machine learning libraries such as TensorFlow and Scikit-Learn to enhance model performance
Conducting complex data analysis to inform decision-making and drive business growth
Building and maintaining data pipelines and infrastructure to support AI initiatives
Leveraging programming languages like Python and Java for AI system development
Engaging in continuous learning to stay updated with the latest AI and machine learning advancements
Mentoring junior team members and guiding them in AI project execution