AI Engineer / Data Scientist, AI Experienced Associate

PricewaterhouseCoopers•Chicago, IL

5d•Onsite

About The Position

As part of the AI Engineering team within the Digital Assurance & Technology team, we’re seeking an innovative and versatile AI professional with AI and ML development and/or testing expertise. In this role, you’ll work with teams that are building and deploying scalable AI-powered solutions within real-world applications. You’ll work cross-functionally with data scientists, ML engineers, backend/frontend developers, and product teams to help test and deliver impactful AI products. 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 take ownership and consistently deliver quality work that drives value for our clients and success as a team. Embrace the opportunity to grow in a fast-paced environment, adapting to diverse challenges and contributing to innovative solutions.

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 AI implementation and machine learning techniques
Excelling in client support within fast-paced environments
Adapting quickly to diverse client needs and project scopes
Building a personal brand through consistent quality work
Utilizing analytical skills to discern patterns and insights

Responsibilities

Designing and implementing AI systems to transform raw data into actionable insights
Developing scalable machine learning models to support client decision-making processes
Collaborating with cross-functional teams to integrate AI solutions into existing platforms
Conducting data wrangling and preprocessing to prepare datasets for analysis
Applying advanced algorithms to enhance the performance of AI models
Building and deploying software systems that leverage AI and machine learning technologies
Analyzing complex data sets to identify patterns and trends that inform business strategies
Supporting client engagements by delivering quality work and adapting to diverse project requirements
Engaging in continuous learning to deepen technical skills and knowledge in AI engineering
Upholding professional and technical standards while contributing to team success