{"schemaVersion":"jobsearcher.job.v1","id":"ae2b460bdfe1122ada48285d","url":"https://jobsearcher.com/jobs/ae2b460bdfe1122ada48285d","canonicalUrl":"https://jobsearcher.com/jobs/ae2b460bdfe1122ada48285d","title":"Lead MLOps Engineer","description":"Description:\nDrive the future of secure, scalable, mission-critical AI/ML systems.\nPrime Solutions Group (PSG), Inc. is seeking a Lead MLOps Engineer to architect, automate, and operate advanced ML pipelines and platforms that power next-generation defense and national security AI systems. In this hybrid leadership role, you will serve as both a senior technical expert and a hands-on engineering lead—guiding MLOps strategy, mentoring engineers, and driving execution across high-impact AI/ML programs.\nYou will integrate ML engineering, data engineering, and DevSecOps practices to build secure, scalable, fully automated ML ecosystems for both cloud and on-premise environments. This role extends PSG’s DevSecOps foundation with ML-specific tooling and governance, including experiment tracking, model registries, monitoring, drift detection, automated retraining, and performance optimization.\nThis is a high-visibility opportunity to deliver enterprise-scale AI/ML platforms and directly contribute to U.S. national security while shaping PSG’s long-term MLOps capabilities.\n\nResponsibilities Include\nLead the design, implementation, and management of ML-focused CI/CD pipelines across development, test, staging, and production environments.\nIntegrate MLOps best practices into existing DevSecOps workflows, including:\nData quality and schema validation\nModel validation and promotion gates\nDrift and performance monitoring\nOversee secure Infrastructure-as-Code (IaC), containerization (Docker/Kubernetes), and cloud platforms (AWS/Azure/GCP) for ML and data workloads.\nArchitect and maintain ML training and inference platforms, including experiment tracking, model registries, and automated retraining pipelines.\nMentor and guide engineers in automation, observability, and security-first MLOps and DevSecOps practices.\nCollaborate with cross-functional teams (data science, software, cybersecurity, IT, systems) to ensure ML systems are reliable, secure, and high-performing.\nLead technical risk assessments and incident response efforts for ML and data platforms.\nStay current on emerging MLOps, data engineering, and AI platform technologies; recommend new tools and methods.\nServe in a hybrid role as:\nSenior technical contributor on MLOps architecture and implementation\nTeam lead for MLOps initiatives and platform development efforts\nContribute hands-on to pipeline/orchestration code, infrastructure definitions, and monitoring/alerting configuration.\nApply engineering principles to resolve complex issues across ML, data, security, and operations.\nEvaluate ethical, operational, and mission considerations when deploying AI/ML systems.\nRequirements:\nU.S. Citizenship (Required).\nActive Top-Secret Clearance or higher.\nBachelor’s degree in Computer Science, Engineering, Data Science, Applied Mathematics, or related field.\n5–9+ years experience in:\nMLOps / ML platform engineering\nDevOps/DevSecOps/SRE supporting ML workloads\nData engineering integrating ML pipelines\nApplied ML in production environments\nStrong proficiency with CI/CD tools (GitLab CI, Jenkins, GitHub Actions, etc.).\nHands-on experience with IaC (Terraform, Ansible, CloudFormation).\nExpertise with Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP).\nStrong experience with Python and ML frameworks (NumPy, pandas, scikit-learn, PyTorch, TensorFlow).\nExperience with orchestration tools (Airflow, Kubeflow, Prefect, Dagster).\nExperience integrating security scanning, governance, and compliance frameworks into ML workflows.\nStrong scripting skills (Python, Bash, Go, or similar).\nDemonstrated leadership experience—technical mentorship, leading projects, or team oversight.\nExcellent communication skills with the ability to convey ML system behavior and trade-offs to diverse stakeholders.\n\nPreferred Skills / Experience\nMaster’s degree in a relevant field.\nAdditional security or cloud certifications (CISSP, AWS ML Specialty, CKA/CKS, etc.).\nExperience implementing Zero Trust, advanced observability (Prometheus, Grafana, ELK/EFK), or OpenTelemetry.\nExperience with:\nFeature stores\nData validation frameworks (Great Expectations)\nData governance and lineage tooling\nPolicy-as-code (OPA, Kyverno)\nPrior experience supporting defense, aerospace, or government-secured AI/ML programs.\nExperience designing/operating mission-critical AI/ML systems with high throughput, high availability, and rigorous monitoring.\n\nWhy You’ll Want to Join PSG\nAt PSG, you’re not just taking on a role—you’re shaping the future of AI/ML-enabled digital engineering. You will work in a small-company environment where your ideas matter, while supporting some of the most advanced national security programs in the country. We offer:\nCompetitive compensation & benefits\nProfessional development & tuition assistance\nCollaborative, mission-driven culture\nDirect impact on high-visibility AI/ML government programs\nBring your MLOps leadership to PSG and help build the next generation of secure, intelligent, data-driven enterprise and mission platforms.\n\nSalary Description\nSalary range starts at $138,337 with the potential for higher compensation based on experience, skills, and mission needs.","company":"Prime Solutions Group","rawCompany":"prime solutions group","city":"Goodyear","state":"AZ","isRemote":false,"isActive":false,"createdAt":"2026-04-14T10:34:01.537Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead MLOps Engineer","description":"Description:\nDrive the future of secure, scalable, mission-critical AI/ML systems.\nPrime Solutions Group (PSG), Inc. is seeking a Lead MLOps Engineer to architect, automate, and operate advanced ML pipelines and platforms that power next-generation defense and national security AI systems. In this hybrid leadership role, you will serve as both a senior technical expert and a hands-on engineering lead—guiding MLOps strategy, mentoring engineers, and driving execution across high-impact AI/ML programs.\nYou will integrate ML engineering, data engineering, and DevSecOps practices to build secure, scalable, fully automated ML ecosystems for both cloud and on-premise environments. This role extends PSG’s DevSecOps foundation with ML-specific tooling and governance, including experiment tracking, model registries, monitoring, drift detection, automated retraining, and performance optimization.\nThis is a high-visibility opportunity to deliver enterprise-scale AI/ML platforms and directly contribute to U.S. national security while shaping PSG’s long-term MLOps capabilities.\n\nResponsibilities Include\nLead the design, implementation, and management of ML-focused CI/CD pipelines across development, test, staging, and production environments.\nIntegrate MLOps best practices into existing DevSecOps workflows, including:\nData quality and schema validation\nModel validation and promotion gates\nDrift and performance monitoring\nOversee secure Infrastructure-as-Code (IaC), containerization (Docker/Kubernetes), and cloud platforms (AWS/Azure/GCP) for ML and data workloads.\nArchitect and maintain ML training and inference platforms, including experiment tracking, model registries, and automated retraining pipelines.\nMentor and guide engineers in automation, observability, and security-first MLOps and DevSecOps practices.\nCollaborate with cross-functional teams (data science, software, cybersecurity, IT, systems) to ensure ML systems are reliable, secure, and high-performing.\nLead technical risk assessments and incident response efforts for ML and data platforms.\nStay current on emerging MLOps, data engineering, and AI platform technologies; recommend new tools and methods.\nServe in a hybrid role as:\nSenior technical contributor on MLOps architecture and implementation\nTeam lead for MLOps initiatives and platform development efforts\nContribute hands-on to pipeline/orchestration code, infrastructure definitions, and monitoring/alerting configuration.\nApply engineering principles to resolve complex issues across ML, data, security, and operations.\nEvaluate ethical, operational, and mission considerations when deploying AI/ML systems.\nRequirements:\nU.S. Citizenship (Required).\nActive Top-Secret Clearance or higher.\nBachelor’s degree in Computer Science, Engineering, Data Science, Applied Mathematics, or related field.\n5–9+ years experience in:\nMLOps / ML platform engineering\nDevOps/DevSecOps/SRE supporting ML workloads\nData engineering integrating ML pipelines\nApplied ML in production environments\nStrong proficiency with CI/CD tools (GitLab CI, Jenkins, GitHub Actions, etc.).\nHands-on experience with IaC (Terraform, Ansible, CloudFormation).\nExpertise with Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP).\nStrong experience with Python and ML frameworks (NumPy, pandas, scikit-learn, PyTorch, TensorFlow).\nExperience with orchestration tools (Airflow, Kubeflow, Prefect, Dagster).\nExperience integrating security scanning, governance, and compliance frameworks into ML workflows.\nStrong scripting skills (Python, Bash, Go, or similar).\nDemonstrated leadership experience—technical mentorship, leading projects, or team oversight.\nExcellent communication skills with the ability to convey ML system behavior and trade-offs to diverse stakeholders.\n\nPreferred Skills / Experience\nMaster’s degree in a relevant field.\nAdditional security or cloud certifications (CISSP, AWS ML Specialty, CKA/CKS, etc.).\nExperience implementing Zero Trust, advanced observability (Prometheus, Grafana, ELK/EFK), or OpenTelemetry.\nExperience with:\nFeature stores\nData validation frameworks (Great Expectations)\nData governance and lineage tooling\nPolicy-as-code (OPA, Kyverno)\nPrior experience supporting defense, aerospace, or government-secured AI/ML programs.\nExperience designing/operating mission-critical AI/ML systems with high throughput, high availability, and rigorous monitoring.\n\nWhy You’ll Want to Join PSG\nAt PSG, you’re not just taking on a role—you’re shaping the future of AI/ML-enabled digital engineering. You will work in a small-company environment where your ideas matter, while supporting some of the most advanced national security programs in the country. We offer:\nCompetitive compensation & benefits\nProfessional development & tuition assistance\nCollaborative, mission-driven culture\nDirect impact on high-visibility AI/ML government programs\nBring your MLOps leadership to PSG and help build the next generation of secure, intelligent, data-driven enterprise and mission platforms.\n\nSalary Description\nSalary range starts at $138,337 with the potential for higher compensation based on experience, skills, and mission needs.","datePosted":"2026-04-14T10:34:01.537Z","dateModified":"2026-04-14T10:34:01.537Z","hiringOrganization":{"@type":"Organization","name":"Prime Solutions Group","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Goodyear","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ae2b460bdfe1122ada48285d"},"url":"https://jobsearcher.com/jobs/ae2b460bdfe1122ada48285d"}}