AI Engineer- Experienced Associate- Commercial Technology & Innovation

PwC•Tampa, FL

7d•$63,000 - $140,000•Hybrid

About The Position

As an AI Engineer- Experienced Associate- Commercial Technology & Innovation, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. Within our Advisory - Other practice, you will transform raw data into actionable insights, enabling informed decision-making and driving business growth. 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. In this role, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based 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. You will be expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope, using these experiences as opportunities to learn and grow.

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
Excelling in AI implementation and complex data analysis
Utilizing programming languages such as Python and C++
Developing machine learning models using TensorFlow and Scikit-Learn
Engaging in natural language processing and sentiment analysis
Building data pipelines and confirming data quality

Responsibilities

Designing and implementing AI systems to transform raw data into actionable insights
Developing and deploying machine learning models using Python and TensorFlow
Building and maintaining data pipelines and infrastructure to support AI solutions
Conducting complex data analysis to inform decision-making and drive business growth
Integrating data from various sources to enhance data quality and model accuracy
Utilizing programming languages such as C++ and Java for AI software development
Applying natural language processing techniques for text analytics and sentiment analysis
Collaborating with cross-functional teams to deliver scalable AI solutions
Engaging in continuous learning to adapt to new technologies and methodologies
Supporting client engagements by providing technical expertise in AI and machine learning