Arlington, Virginia



Our client are an AI-driven company based in Virginia and they are hiring a ML Ops Engineer to join their team on a remote basis.  The successful candidate will play a pivotal role in building, deploying and maintaining the company’s advanced AI infrastructure.


  • As the ML Ops Engineer, you will work alongside data scientists, software engineers and subject matter experts to develop top-tier AI solutions for the government relations sector.

  • You will design, deploy and maintain a robust ML infrastructure, ensuring seamless delivery of AI solutions for complex challenges.

  • Continuously enhance and optimize their AI systems, keeping pace with the latest advancements in technology.


  • Master’s degree in computer science, statistics or similar.

  • At least 3 years of experience in AI deployment, MLOps, DevOps or data engineering, working on large-scale projects in AWS.

  • Proficiency in containerized applications or microservices using Docker and Kubernetes.

  • Extensive experience deploying AI solutions using frameworks like TensorFlow, PyTorch or Transformers.

  • Familiarity with CI/CD or DevOps frameworks such as Jenkins, GitHub Actions, and Argo CD.

  • Knowledge of cloud infrastructure provisioning or configuration tools like CloudFormation, Terraform, Pulumi and Ansible.

  • Strong programming skills in Python, TypeScript and SQL.

  • Experience integrating DevSecOps practices throughout the project lifecycle.

  • TS/SCI Clearance is a plus.

  • Experience working in a hypergrowth startup.

Salary: $220k – $300k DOE

Interested? Apply now! Simply uploaded your resume through the link below and one of our recruiters will be in touch if you’re a match.