Acceleration Center- Agentic AI and Machine Learning Developer- Experienced Associate

PwC•Tampa, FL

6d•$61,000 - $100,000•Onsite

About The Position

As a Risk Architecture- Agentic AI and Machine Learning Developer- Experienced 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 apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. As an Associate, you will focus on learning and contributing 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 be expected to anticipate the needs of your teams and clients, embrace ambiguity, ask questions, and use these challenges as opportunities for growth. In this role, you will take ownership and consistently deliver quality work that drives value for our clients and success as a team. You will build a brand for yourself, opening doors to more opportunities.

Requirements

At least a Bachelor's degree
Demonstrating proficiency in Python and Java programming languages
Utilizing machine learning libraries such as TensorFlow and Scikit-Learn
Engaging in complex data analysis and pattern recognition
Applying AI implementation skills in client-facing environments
Developing neural network models for advanced AI solutions

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

Responsibilities

Designing and implementing AI and machine learning solutions to transform raw data into actionable insights
Developing and deploying scalable AI models using programming languages such as Python and Java
Collaborating with team members to integrate AI systems into existing data infrastructure
Conducting complex data analysis to identify patterns and inform decision-making processes
Utilizing machine learning libraries like TensorFlow and Scikit-Learn to enhance model performance
Building and maintaining data pipelines to support AI and machine learning initiatives
Engaging in data wrangling and data quality assessments to improve data reliability
Applying natural language processing techniques to develop advanced text analytics solutions
Participating in client support activities to address AI-related challenges and opportunities
Continuously learning and adapting to new AI technologies and methodologies to drive innovation