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SeniorFull-timeRustKubernetesData ScienceAIML
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for an AI Infrastructure Engineer to join our team at MetroStar. This role involves providing technical solutions for the federal government, focusing on AI infrastructure design, deployment, and maintenance.
Key Responsibilities
- →Lead the design, deployment, and maintenance of secure and scalable AI infrastructure to support AI workloads across on-prem and cloud environments.
- →Architect and manage compute platforms, storage systems, and containerized environments optimized for AI inference and data processing.
- →Collaborate with cross-functional teams to integrate AI models, services, and runtime environments into operational pipelines.
- →Provide subject matter expertise on AI infrastructure and integration to government customers.
Requirements
- ✓Active Top Secret with SCI eligibility security clearance.
- ✓BA/BS degree in IT related field or equivalent certification.
- ✓Experience in deploying and managing AI/ML workloads with Kubernetes.
- ✓5 years of experience in designing, deploying, operating, and maintaining AI-related infrastructure.
- ✓5 years of experience in designing, deploying, operating, and maintaining containerized or virtualized infrastructure.
- ✓Demonstrated experience supporting projects of similar size, scope, and complexity.
Benefits
- ★Health, dental, and vision insurance
- ★401(k) retirement plan with company match
- ★Paid time off (PTO) and holidays
- ★Parental Leave and dependent care
- ★Flexible work arrangements
- ★Professional development opportunities
- ★Employee assistance and wellness programs
