Role overview
Description:
What you'll work on
Prime Solutions Group (PSG), Inc. is seeking a Lead MLOps Engineer to serve as a hybrid senior technical contributor and team leader, responsible for designing, implementing, and operating secure, automated machine learning and data pipelines across cloud and on-premise environments.
You will guide technical execution, mentor engineers, and make key architectural and tooling decisions for PSG’s MLOps platforms. Building on PSG’s established DevSecOps foundation (CI/CD, Infrastructure-as-Code, security baselines), you will extend capabilities to include experiment tracking, model registries, drift detection, and model performance monitoring.
This is a fast-paced, high-impact opportunity to deliver enterprise-scale AI/ML solutions while directly supporting U.S. national security missions.
What we're looking for
- Security, cloud, or ML certifications (e.g., CISSP, AWS Security Specialty, AWS ML Specialty, CKS, GIAC)
- Experience implementing Zero Trust architectures
- Experience with observability and monitoring tools (Prometheus, Grafana, ELK/EFK, OpenTelemetry) for ML services
- Hands-on experience with:
- Feature stores and data validation frameworks (e.g., Great Expectations)
- Data governance and lineage tooling
- Policy-as-code for ML environments (OPA, Kyverno, admission controllers)
- Prior experience supporting defense, aerospace, or government-secured AI/ML programs
- Experience operating enterprise-scale or mission-critical ML systems, including high-availability inference and rigorous performance monitoring