Lead DevOps Engineer (AI/ML Ops) at Prime Solutions Group, Inc.

Goodyear, Arizona, United States -

Full Time

Start Date

Immediate

Expiry Date

19 May, 26

Salary

158664.0

Posted On

18 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

MLOps, DevSecOps, CI/CD, IaC, Kubernetes, Docker, AWS, Azure, GCP, Python, TensorFlow, PyTorch, Airflow, Kubeflow, Leadership, Security

Industry

IT Services and IT Consulting

Description

Description Drive the future of secure, scalable, mission-critical AI/ML systems. Prime Solutions Group (PSG), Inc. is seeking a Lead DevOps Engineer (AI/ML Ops) 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. You 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. This 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. Responsibilities Include Lead the design, implementation, and management of ML-focused CI/CD pipelines across development, test, staging, and production environments. Integrate MLOps best practices into existing DevSecOps workflows, including: Data quality and schema validation Model validation and promotion gates Drift and performance monitoring Oversee secure Infrastructure-as-Code (IaC), containerization (Docker/Kubernetes), and cloud platforms (AWS/Azure/GCP) for ML and data workloads. Architect and maintain ML training and inference platforms, including experiment tracking, model registries, and automated retraining pipelines. Mentor and guide engineers in automation, observability, and security-first MLOps and DevSecOps practices. Collaborate with cross-functional teams (data science, software, cybersecurity, IT, systems) to ensure ML systems are reliable, secure, and high-performing. Lead technical risk assessments and incident response efforts for ML and data platforms. Stay current on emerging MLOps, data engineering, and AI platform technologies; recommend new tools and methods. Serve in a hybrid role as: Senior technical contributor on MLOps architecture and implementation Team lead for MLOps initiatives and platform development efforts Contribute hands-on to pipeline/orchestration code, infrastructure definitions, and monitoring/alerting configuration. Apply engineering principles to resolve complex issues across ML, data, security, and operations. Evaluate ethical, operational, and mission considerations when deploying AI/ML systems. Requirements U.S. Citizenship (Required). Active Top-Secret Clearance or higher. Bachelor’s degree in Computer Science, Engineering, Data Science, Applied Mathematics, or related field. 5–9+ years experience in: MLOps / ML platform engineering DevOps/DevSecOps/SRE supporting ML workloads Data engineering integrating ML pipelines Applied ML in production environments Strong proficiency with CI/CD tools (GitLab CI, Jenkins, GitHub Actions, etc.). Hands-on experience with IaC (Terraform, Ansible, CloudFormation). Expertise with Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP). Strong experience with Python and ML frameworks (NumPy, pandas, scikit-learn, PyTorch, TensorFlow). Experience with orchestration tools (Airflow, Kubeflow, Prefect, Dagster). Experience integrating security scanning, governance, and compliance frameworks into ML workflows. Strong scripting skills (Python, Bash, Go, or similar). Demonstrated leadership experience—technical mentorship, leading projects, or team oversight. Excellent communication skills with the ability to convey ML system behavior and trade-offs to diverse stakeholders. Preferred Skills / Experience Master’s degree in a relevant field. Additional security or cloud certifications (CISSP, AWS ML Specialty, CKA/CKS, etc.). Experience implementing Zero Trust, advanced observability (Prometheus, Grafana, ELK/EFK), or OpenTelemetry. Experience with: Feature stores Data validation frameworks (Great Expectations) Data governance and lineage tooling Policy-as-code (OPA, Kyverno) Prior experience supporting defense, aerospace, or government-secured AI/ML programs. Experience designing/operating mission-critical AI/ML systems with high throughput, high availability, and rigorous monitoring. Why You’ll Want to Join PSG At 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: Competitive compensation & benefits Professional development & tuition assistance Collaborative, mission-driven culture Direct impact on high-visibility AI/ML government programs Bring your AI/MLOps leadership to PSG and help build the next generation of secure, intelligent, data-driven enterprise and mission platforms. Salary Description Salary range starts at $116,806 with the potential for higher compensation based on experience, skills, and mission needs.

Responsibilities

This role involves leading the design, implementation, and management of ML-focused CI/CD pipelines and integrating MLOps best practices into existing DevSecOps workflows, including data validation and model promotion gates. The engineer will also oversee secure Infrastructure-as-Code, containerization, and cloud platforms for ML workloads while mentoring other engineers.