ML Administrator

Job Description

This position is contingent upon award of contract ****

SOSi is seeking an ML Administrator to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.

• Manage machine learning model versioning, lineage tracking, and compliance with governance policies, ensuring reproducibility and secure deployment.
• Implement and monitor ML infrastructure, optimizing compute resource allocation across cloud and on-premises environments.
• Validation of AI/ML pipelines, ensuring models remain accurate, explainable, and aligned with operational objectives.
• Manage ML Model Governance & Deployment Reporting including summarizing model lifecycle management, performance tracking, and security compliance.

• Master's degree or higher (e.g., Ph.D.) in Computer Science, Information Technology, Systems Engineering, Data Science, Business Administration, Engineering Management, or a closely related field; OR minimum of 11+ years of experience managing complex technical projects in enterprise data architecture, Databricks administration, and cloud-based data platforms.
• Databricks platform administration, including workspace management, workspace configuration, cluster optimization, cluster performance tuning, and Unity Catalog integration for secure data governance.
• ETL/ELT pipeline development, Delta Lake architecture and optimization, and data lakehouse optimization for DoD analytics and mission-critical data workflows.
• AI/ML workflow integration within Databricks environments.
• Sys Eng Ops  and Dev Sec Ops  practices with version control systems (Git) and CI/CD pipelines for streamlined Databricks development, automated deployment, and governance.
• Identity and access management (IAM), role-based access control (RBAC), cloud security best practices, and compliance with DoD data policies across AWS, Azure, and GCP.
• Hands-on expertise in Python, SQL/No
  
  SQL databases, Apache Spark, Databricks SQL, Terraform, and cloud-native data services for large-scale data processing and analytics.
• Knowledge and capability to support Databricks platform administration and enterprise data architecture for DoD data-driven projects and mission-critical workflows.

• Remote

All interested individuals will receive consideration and will not be discriminated against for any reason.