Job Opportunities API

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. 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.