Senior AI/ML Engineer - Data-Powered Risk Solutions

PwC; Dallas (TX); On-site; USD 77,000 - 202,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401k

Holiday pay

Vacation

Personal and family sick leave

Job summary

PwC is seeking an Acceleration Center - Agentic AI and Machine Learning Developer at Senior Associate level. You will design AI systems, wrangle data, and deploy scalable AI models while mentoring junior team members.

Collaboration with clients and cross-functional teams is key to delivering value in risk and regulatory projects. You will use Python and Java, apply TensorFlow/Scikit-Learn, and build data pipelines to support data-driven decision making.

Qualifications

• Bachelor's degree or higher in a relevant field.
• 2+ years of experience in AI/ML or data engineering preferred.
• Proficiency with Python and Java for data analysis and modeling.

Responsibilities

• Design and implement AI/ML solutions to turn data into insights.
• Develop scalable software and platform systems with advanced algorithms.
• Collaborate with clients to deliver tailored data solutions.
• Build and deploy AI models using Python/Java.
• Integrate data from multiple sources to improve quality.
• Apply TensorFlow/Scikit-Learn to optimize models.
• Conduct complex data analysis for decision making.

Skills

Python

Java

TensorFlow

Scikit-Learn

Data Wrangling

Data Pipelines

NLP

Mentoring

Cloud Platforms

Education

Bachelor's degree

Tools

TensorFlow

Scikit-Learn

AWS

GCP

Azure

Databricks

Snowflake

Job description

PwC is seeking an Acceleration Center - Agentic AI and Machine Learning Developer at Senior Associate level. You will design AI systems, wrangle data, and deploy scalable AI models while mentoring junior team members.

Collaboration with clients and cross-functional teams is key to delivering value in risk and regulatory projects. You will use Python and Java, apply TensorFlow/Scikit-Learn, and build data pipelines to support data-driven decision making.