MLOps Engineer

Build, scale, and secure mission-critical AI/ML systems that matter.

Prime Solutions Group (PSG), Inc. is seeking a Staff Dev Ops Engineer (AI/ML Ops) to lead how machine learning models and data-driven services are built, deployed, secured, and operated across multiple programs. This is a senior technical leadership role for an engineer who sets direction beyond individual projects, collaborates across disciplines, and operates with minimal supervision.

Building on PSG’s mature Dev Sec Ops  foundation
, you will define and drive enterprise MLOps best practices spanning the full ML lifecycle—from data ingestion and feature engineering through deployment, monitoring, drift detection, and retraining.

This is a fast‑paced, high‑impact opportunity to deliver secure, scalable AI/ML solutions while mentoring technical teams and directly supporting U.S. national security missions
.

Full‑time

• Serve as a technical authority for MLOps and ML lifecycle management across multiple programs.
• Design and implement ML-focused CI/CD pipelines that automate data builds, training, evaluation, packaging, and deployment.
• Embed ML‑specific validation, security, and compliance controls into pipelines, including:
  • Data quality and schema validation
  • Model performance and inference gates
  • Security scanning, compliance checks, and SBOM generation
• Build and maintain Infrastructure-as-Code (IaC) for ML platforms supporting:
  • CPU/GPU training and inference clusters
  • Data, feature, and model artifact storage
  • Feature stores, model registries, and monitoring stacks
• Harden ML and data infrastructure in AWS cloud environments, aligning with NIST, FedRAMP, and CIS requirements.
• Mentor MLOps, data engineering, and software teams on secure, reliable, and observable ML operations.
• Partner with data scientists to move models from experimentation to production, enabling:
  • Reproducible training environments
  • Experiment tracking and model registry workflows
  • Optimized, production‑ready inference services
• Lead or support incident response and risk analysis related to ML systems (e.g., data quality issues, model drift, security exposures).
• Support audits and compliance efforts by documenting ML pipelines, controls, and evidence.
• Stay current on MLOps, Dev Sec Ops , and ML platform trends, contributing to PSG’s AI/ML roadmap.

• U.S. Citizenship
• Active Top Secret clearance or higher
• Bachelor’s degree in Computer Science, Engineering, Data Science, Applied Mathematics, or related field
• CompTIA Security+ CE (or ability to obtain within 30 days of hire)
• 7+ years of experience in one or more of the following:
  • MLOps or ML platform engineering
  • Dev Ops / Dev Sec Ops  / SRE supporting data or ML workloads
  • Data engineering with production ML integration
  • Applied ML in production environments
• Strong experience building secure CI/CD pipelines for ML and data systems
• Proficiency in Python and scripting for automation
• Hands‑on experience with AWS cloud infrastructure
• Experience with ML and data tools such as:
  • ML frameworks (PyTorch, Tensor Flow, scikit‑learn)
  • Data processing tools (pandas, Spark)
  • Experiment tracking or model registries (MLflow, Sage Maker, Weights & Biases)
• Solid understanding of compliance frameworks (NIST 800‑53, FedRAMP, ISO 27001) as applied to ML and data systems
• Demonstrated experience mentoring or leading technical teams
• Strong software engineering fundamentals (Git workflows, code reviews, testing)

• Experience with containerization and orchestration (Docker, Kubernetes, Rancher)
• Familiarity with MLOps platforms and tooling:
  • Workflow orchestration (Airflow, Kubeflow, Prefect, Dagster)
  • Feature stores, data validation, and drift detection
• Experience with observability tools (Grafana, Splunk, Dynatrace, App Dynamics) for ML services
• Exposure to multi‑cloud or hybrid ML environments
• Knowledge of Zero Trust security principles
• Experience in Agile/Scrum environments
• Experience building or integrating API‑based ML services
• Exposure to Model‑Based Systems Engineering (MBSE) environments

At PSG, you’re not just filling a role—you’re shaping the future of secure, AI‑enabled digital engineering
. We combine the agility of a small business with the impact of supporting some of the government’s most advanced technology programs.

• Competitive compensation and benefits
• Professional development and tuition assistance
• A collaborative, mission‑driven culture
• Direct impact on national security through secure AI/ML solutions

Salary range starts at $167,967 with the potential for higher compensation based on experience, skills, and mission needs.