External Job Posting Title AI/ML Engineer/Data Scientist / Public Trust

Peraton; Warrenton (VA); On-site; USD 104,000 - 166,000; Full time

Job summary

Peraton is seeking an experienced AI/ML Data Scientist to join our Federal Strategic Cyber program in Warrenton, VA. You will design and implement AI/ML solutions, build and optimize ETL pipelines, and collaborate with data management teams to standardize data schemas.

Required is a Bachelor’s degree with 8+ years of related technical experience (or 4 years additional experience in lieu of a degree), U.S. Citizenship, and the ability to obtain a Public Trust clearance.

Qualifications

• Bachelor’s degree with 8+ years of related technical experience (or 4 additional years in lieu of a degree).
• Demonstrated fluency in AI/ML techniques.
• Proficiency in scripting and automation (Bash, Python, etc.).
• Strong understanding of containerization principles (Docker, Podman, etc.).
• Ability to work independently and collaboratively in a team environment.
• U.S. Citizenship is required.
• Ability to obtain a Public Trust security clearance required.
• Willingness and ability to travel 10-25%.

Responsibilities

• Design, build, and maintain Extract, Transform, and Load (ETL) pipelines using industry best practices.
• Work with data management teams to design transform scripts in languages like Python to convert raw data to standardized data schemas.
• Implement and manage containerization strategies using OpenShift/Kubernetes.
• Collaborate with development teams to integrate CI/CD pipelines into the software development lifecycle.
• Monitor and optimize system performance, reliability, and availability.
• Automate infrastructure and application deployment processes.
• Ensure security best practices are implemented throughout all DevOps procedures.
• Troubleshoot and resolve issues in development, test, and production environments.

Skills

AI/ML

Python

Bash

CI/CD

OpenShift

Kubernetes

Docker

Data pipelines

Education

Bachelor’s degree or higher

Tools

Docker

Kubernetes

OpenShift

Job description

Responsibilities

Peraton is currently seeking to hire an experienced AI/ML Data Scientist to join our Federal Strategic Cyber program. Location: Warrenton, VA

Position Description:

• Expertise and fluency in AI/ML techniques.
• Design, build, and maintain Extract, Transform, and Load (ETL) pipelines using industry best practices.
• Work with data management teams to design transform scripts in languages like Python to convert raw data to standardized data schemas.
• Implement and manage containerization strategies using OpenShift/Kubernetes.
• Collaborate with development teams to integrate CI/CD pipelines into the software development lifecycle.
• Monitor and optimize system performance, reliability, and availability.
• Automate infrastructure and application deployment processes.
• Ensure security best practices are implemented throughout all DevOps procedures.
• Troubleshoot and resolve issues in development, test, and production environments.

Qualifications

Required:

• Bachelor’s degree and a minimum of 8 years related technical experience required.
  • An additional 4 years of experience may be substituted in lieu of a degree.
• Demonstrated fluency in AI/ML techniques.
• Proficiency in scripting and automation (Bash, Python, etc.).
• Strong understanding of containerization principles (Docker, Podman, etc.).
• Ability to work independently and collaboratively in a team environment.
• Experience interfacing with clients, technical support personnel, and other technical professionals to ensure efficient and effective service.
• U.S. Citizenship is required.
• Ability to obtain a Public Trust security clearance required.
• Willingness and ability to travel 10-25%.

Preferred:

• Experience with the Databricks Data and AI platform.
• Proven experience with OpenShift and Kubernetes in production environments.
• Experience with Openshift/Kubernetes and other container-based platforms.
• Experience implementing and utilizing AI models to explore and refine data.
• Experience training task specific AI models for normalization and alerting.
• Experience with SAFe Agile testing environments.
• Experience using OpenShift to run microservice architectures designed to manage scale of data transformation processes.

Target Salary Range

$104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

EEO

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.