Prime Solutions Group, Inc. · 13 hours ago
DevOps Engineer (AI/ML Ops)
Goodyear, AZ
Full-time
Onsite
Entry, Mid Level
2+ years expPrime 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. 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.
SoftwareInformation TechnologyInformation ServicesSecurity
No H1B
Security Clearance RequiredU.S. Citizen OnlyHiring Manager
Jackie T.
Responsibilities
Design, 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
Qualification
Required
U.S. Citizenship (required)
Active Top Secret Clearance or higher
Bachelor's degree in Computer Science, Data Science, Engineering, Applied Mathematics, or related field
2–4+ years of experience in at least one of the following: MLOps or ML platform engineering, DevOps/DevSecOps/SRE for ML workloads, Data engineering with ML integration, Applied ML in production environments
Proficiency with Git and CI/CD tools (GitLab CI, Jenkins, GitHub Actions, etc.)
Hands-on experience with AWS, Azure, or GCP ML infrastructure
Strong Python skills and experience with ML libraries (NumPy, pandas, scikit-learn, PyTorch, TensorFlow)
Experience with Docker and Kubernetes
Strong understanding of the ML lifecycle (feature engineering ? training ? validation ? deployment ? monitoring ? retraining)
Clear communication and cross-functional collaboration skills
Preferred
Experience operating ML systems in production
Hands-on experience with: MLflow, Weights & Biases, or similar model registries; Airflow, Kubeflow, Prefect, Dagster, or similar orchestrators; Feature stores or scalable data pipelines
Experience integrating security into ML workflows (image/dependency scanning, policy-as-code)
Familiarity with observability stacks (Prometheus, Grafana, EFK, OpenTelemetry) and ML-specific monitoring
Knowledge of Zero Trust Architecture, NIST frameworks, and DoD STIG compliance
Certifications: AWS ML Specialty, AWS DevOps, CKS, or related
Experience supporting mission-critical AI/ML systems for defense, intelligence, or critical infrastructure
Benefits
Competitive compensation & benefits
Professional development & tuition assistance
A collaborative, mission-driven culture
A small-company environment where innovation happens fast
Direct impact on high-visibility government programs leveraging AI/ML
Company
Prime Solutions Group, Inc.
Prime Solutions Group, Inc (PSG) provides engineering services and software data processing products for remote sensing systems.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase