AI/ML Engineer, Data Scientist

Responsibilities 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. Requirements 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%. Core Competencies Demonstrates expertise in AI/ML techniques and proficiency in designing and maintaining ETL pipelines using Python. Skilled in containerization strategies with OpenShift/Kubernetes and automating deployment processes while ensuring security best practices. Certifications & Qualifications Public Trust Security Clearance #J-18808-Ljbffr