DevOps Engineer (AI/ML Ops)

Job TypeFull-timeDescriptionTransform cutting-edge machine learning research into real-world mission capabilities.Prime Solutions Group (PSG) is seeking a highly capable DevOps Engineer (AI/ML Ops) to design, automate, and operate secure, scalable machine learning pipelines and infrastructure across enterprise and mission systems. In this role, you will work at the intersection of ML engineering, DevSecOps, cloud infrastructure, and cybersecurity—supporting advanced AI/ML workloads for defense and national security customers.You will collaborate closely with data scientists, DevSecOps engineers, and system architects to transition ML models into robust, production-ready services. This is a high-impact role supporting next-generation, AI-enabled digital engineering environments.Key ResponsibilitiesDesign, build, and maintain secure, automated ML pipelines for data ingestion, feature engineering, model training, validation, and deployment. Implement ML-aware CI/CD pipelines with unit tests, data validation, model validation, and promotion gates aligned to DevSecOps best practices. Automate model training, evaluation, and deployment using orchestration platforms (Airflow, Kubeflow, Prefect, Dagster, etc.) and model registries/experiment tracking tools. Containerize and deploy ML services (REST/gRPC microservices, batch, or streaming inference) using Docker and Kubernetes. Integrate monitoring, drift detection, and data quality checks into ML production systems. Partner with data scientists to transition models from experimentation to production, ensuring reproducibility and consistent environments. Collaborate with DevSecOps, infrastructure, and security teams to meet PSG security baselines (image scanning, SBOMs, secrets management, IAM). Monitor and optimize ML training and inference performance, including GPU/CPU utilization and cloud cost efficiency. Troubleshoot complex issues across data pipelines, model services, cloud infrastructure, and ML orchestration tools. RequirementsU.S. Citizenship (required)Active Top Secret Clearance or higherBachelor’s degree in Computer Science, Data Science, Engineering, Applied Mathematics, or related field2–4+ years of experience in at least one of the following:MLOps or ML platform engineeringDevOps/DevSecOps/SRE for ML workloadsData engineering with ML integrationApplied ML in production environmentsProficiency with Git and CI/CD tools (GitLab CI, Jenkins, GitHub Actions, etc.)Hands-on experience with AWS, Azure, or GCP ML infrastructureStrong Python skills and experience with ML libraries (NumPy, pandas, scikit-learn, PyTorch, TensorFlow)Experience with Docker and KubernetesStrong understanding of the ML lifecycle (feature engineering ? training ? validation ? deployment ? monitoring ? retraining)Clear communication and cross-functional collaboration skillsPreferred Skills / ExperienceExperience operating ML systems in productionHands-on experience with:MLflow, Weights & Biases, or similar model registriesAirflow, Kubeflow, Prefect, Dagster, or similar orchestratorsFeature stores or scalable data pipelinesExperience integrating security into ML workflows (image/dependency scanning, policy-as-code)Familiarity with observability stacks (Prometheus, Grafana, EFK, OpenTelemetry) and ML-specific monitoringKnowledge of Zero Trust Architecture, NIST frameworks, and DoD STIG complianceCertifications: AWS ML Specialty, AWS DevOps, CKS, or relatedExperience supporting mission-critical AI/ML systems for defense, intelligence, or critical infrastructureWhy You’ll Want to Join PSGAt PSG, you’re not just taking a job—you’re shaping the future of AI-enabled digital engineering and national security. We offer:Competitive compensation & benefitsProfessional development & tuition assistanceA collaborative, mission-driven cultureA small-company environment where innovation happens fastDirect impact on high-visibility government programs leveraging AI/MLBring your AI/MLOps expertise to PSG and help build the next generation of secure, intelligent, data- and model-driven mission systems.Salary DescriptionSalary range starts at $97,665, with the potential for higher compensation based on experience, skills, and mission needs.