Senior AI Engineering Lead: Scalable ML & Data Solutions

PwC; Chicago (IL); On-site; USD 124,000 - 280,000; Full time

Job summary

PwC is seeking an AI Engineering Lead in Advisory to transform data into actionable insights, design and deploy AI systems, and lead scalable ML projects as a Senior Manager. You will coach teams, manage client engagement, and drive strategic decisions.

Responsibilities include data wrangling, software implementation, and applying advanced engineering techniques using Python and C++. You will validate outcomes with clients, promote open-source ML libraries, and foster diverse, high-performing

Qualifications

• At least a Bachelor's degree.
• At least 7 years of experience.

Responsibilities

• Leading the design and development of AI systems to transform raw data into actionable insights.
• Managing the deployment of scalable AI and Machine Learning solutions for client projects.
• Overseeing data wrangling and software implementation to enhance AI model utility and scalability.
• Guiding teams in applying advanced data engineering techniques to drive business growth.
• Utilizing programming languages such as Python and C++ to develop robust data solutions.
• Implementing data integration and modeling strategies to support AI initiatives.
• Directing complex data analysis to identify opportunities for innovation and improvement.
• Collaborating with stakeholders to validate outcomes and incorporate client feedback.
• Promoting the use of open-source software and machine learning libraries like TensorFlow and Scikit-Learn.
• Coaching and motivating diverse teams to solve complex problems and achieve project success.

Skills

AI implementation

Team leadership

Data engineering

Stakeholder collaboration

Open-source software adoption

Rapid experimentation

Communication

Education

Bachelor's degree

Tools

Python

C++

Java

TensorFlow

Scikit-Learn

AWS

GCP

Azure

Databricks

Snowflake

Job description

PwC is seeking an AI Engineering Lead in Advisory to transform data into actionable insights, design and deploy AI systems, and lead scalable ML projects as a Senior Manager. You will coach teams, manage client engagement, and drive strategic decisions.

Responsibilities include data wrangling, software implementation, and applying advanced engineering techniques using Python and C++. You will validate outcomes with clients, promote open-source ML libraries, and foster diverse, high-performing