ML Administrator

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide. **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. Essential Job Duties: - 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. - SysEngOps and DevSecOps 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/NoSQL 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. Work Environment - Remote Working at SOSi All interested individuals will receive consideration and will not be discriminated against for any reason.