AI Engineering Leader: Scale ML & Data Systems

PRICE WATERHOUSE COOPERS; New York (NY); On-site; USD 99,000 - 232,000; Full time

Job summary

PwC in New York seeks an AI Engineer- Manager- Commercial Technology & Innovation to transform data into insights and drive business growth. You will lead teams, coach performance, and own projects across advisory services, applying AI, ML, and software engineering at scale.

The role requires a Bachelor's degree and 5+ years of experience, with expertise in Python and C++, data wrangling, and ML libraries. Expect a strong emphasis on collaboration, delivery quality, and professional development.

Qualifications

• Bachelor's degree required.
• At least 5 years of experience.
• Proficiency in Python and C++ for AI software development.

Responsibilities

• Design AI systems to transform data into insights.
• Lead teams in scalable ML solution development.
• Apply data wrangling to support AI model deployment.
• Use Python and C++ for AI software development.
• Manage data infrastructure and integration for quality and access.
• Oversee data pipelines and modeling processes.
• Leverage TensorFlow and Scikit-Learn for training.
• Conduct complex data analysis for decisions and growth.
• Collaborate with stakeholders on AI-driven opportunities.
• Mentor team members for growth.

Skills

AI systems design

Team leadership

Python

C++

Machine Learning

Data wrangling

Data pipelines

TensorFlow

Scikit-Learn

Data analysis

Education

Bachelor's degree

Tools

AWS

Google Cloud

Microsoft Azure

Databricks

Snowflake

Job description

PwC in New York seeks an AI Engineer- Manager- Commercial Technology & Innovation to transform data into insights and drive business growth. You will lead teams, coach performance, and own projects across advisory services, applying AI, ML, and software engineering at scale.

The role requires a Bachelor's degree and 5+ years of experience, with expertise in Python and C++, data wrangling, and ML libraries. Expect a strong emphasis on collaboration, delivery quality, and professional development.