Remote AI/ML Cybersecurity Engineer

General Dynamics Information Technology, Inc.; Virginia; Hybrid; USD 111,000 - 150,000; Full time

Benefits offered by this job

401K with company match

Health and wellness packages

Internal mobility support

Paid education and certifications

Cutting-edge technology exposure

Paid vacation and holidays

Job summary

General Dynamics Information Technology, Inc. is seeking a Cybersecurity Engineer to support USPS CISO Operations. The role applies expert AI/ML analytics to large data sets to uncover cybersecurity threats and fraud schemes.

You will leverage Databricks with Python, SQL, and R to build solutions, visualize results, and report to stakeholders at all levels. You will lead data scientists and BI specialists across multiple engagements, drive data strategy and governance, and help identify gaps in

Qualifications

• Expert with AI/ML concepts used for fraud detection.
• Experience designing AI-powered solutions in secure, high-performing environments.
• Ability to direct teams of data scientists, data engineers, BI specialists.
• Experience with large language models, computer vision, and advanced analytics.

Responsibilities

• Apply expert AI/ML analytic approaches to large data sources to uncover threats.
• Develop analytic solutions using Python, SQL, and R.
• Create, interpret, visualize and report insights to stakeholders.
• Identify data sources, collect, aggregate and analyze new data to support missions.

Skills

AI/ML concepts

Data science

Advanced analytics

Python

SQL

R

Azure Databricks

Stakeholder engagement

Education

Bachelor’s degree in engineering or IT/security related major

Tools

Tableau

AWS

Job description

General Dynamics Information Technology, Inc. is seeking a Cybersecurity Engineer to support USPS CISO Operations. The role applies expert AI/ML analytics to large data sets to uncover cybersecurity threats and fraud schemes.

You will leverage Databricks with Python, SQL, and R to build solutions, visualize results, and report to stakeholders at all levels. You will lead data scientists and BI specialists across multiple engagements, drive data strategy and governance, and help identify gaps in