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 Open Shift/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 Dev Ops procedures.
• Troubleshoot and resolve issues in development, test, and production environments.

• 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%.

Demonstrates expertise in AI/ML techniques and proficiency in designing and maintaining ETL pipelines using Python. Skilled in containerization strategies with Open Shift/Kubernetes and automating deployment processes while ensuring security best practices.

• Public Trust Security Clearance