AI/ML Engineer, Data Scientist

Jobtailor; Warrenton (VA); On-site; USD 120,000 - 160,000; Full time

Job summary

Jobtailor in Warrenton, VA seeks a senior DevOps/AI-ML engineer to design, build, and maintain ETL pipelines using Python and to implement containerization with OpenShift/Kubernetes. The role emphasizes security, automation, and collaboration across teams in a fast-paced environment.

The ideal candidate will have a bachelor’s degree with 8+ years of related experience, strong scripting skills, and the ability to obtain a Public Trust clearance. Travel of 10–25% is expected.

Qualifications

• Bachelor’s degree or higher required; 8+ years of related technical experience
• Fluency in AI/ML techniques and modern data processing
• Proficiency in scripting/automation (Bash, Python)
• Strong containerization knowledge (Docker, Podman) and OpenShift/Kubernetes
• Experience implementing CI/CD within SDLC and automating deployments
• Ability to work independently and with teams, client-facing experience preferred
• U.S. Citizenship required and ability to obtain Public Trust clearance
• Willingness to travel 10–25%

Responsibilities

• Design, build, and maintain ETL pipelines using Python to standardize data schemas.
• Implement and manage containerization strategies with OpenShift/Kubernetes.
• Collaborate to integrate CI/CD pipelines into the software lifecycle.
• Monitor, optimize, and secure DevOps processes across environments.
• Automate infrastructure deployment and configuration management.
• Troubleshoot and resolve issues in development, test, and production.
• Assist with security best practices in all DevOps procedures.
• Interact with clients and technical staff to ensure reliable service.

Skills

AI/ML techniques

Python

Bash

OpenShift/Kubernetes

Docker

CI/CD

Security best practices

Troubleshooting

Education

Bachelor's degree

Tools

Docker

Podman

OpenShift

Job description

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