Prime Solutions Group, Inc. · 19 hours ago
Staff MLOps Engineer
Goodyear, AZ
Full-time
Onsite
Senior Level, Lead/Staff
$168K/yr - $236K/yr
7+ years expPrime Solutions Group (PSG), Inc. is seeking a Staff MLOps Engineer to lead how machine learning models and data-driven services are built, deployed, secured, and operated across multiple programs. This role involves defining and driving enterprise MLOps best practices spanning the full ML lifecycle while mentoring technical teams and supporting U.S. national security missions.
Information ServicesInformation TechnologySecuritySoftware
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
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, DevSecOps, and ML platform trends , contributing to PSG’s AI/ML roadmap
Qualification
Required
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, DevOps / DevSecOps / 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, TensorFlow, scikit-learn), Data processing tools (pandas, Spark), Experiment tracking or model registries (MLflow, SageMaker, 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)
Preferred
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, AppDynamics) 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
Benefits
Competitive compensation and benefits
Professional development and tuition assistance
A collaborative, mission-driven culture
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