ML Administrator

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          "text": "<p><strong>**This position is contingent upon award of contract**</strong><strong>&#xa0;</strong></p><p>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.</p><p><strong>Essential Job Duties:</strong></p><ul><li>Manage machine learning model versioning, lineage tracking, and compliance with governance policies, ensuring reproducibility and secure deployment.</li><li>Implement and monitor ML infrastructure, optimizing compute resource allocation across cloud and on-premises environments.</li><li>Validation of AI/ML pipelines, ensuring models remain accurate, explainable, and aligned with operational objectives.</li><li>Manage ML Model Governance &amp; Deployment Reporting including summarizing model lifecycle management, performance tracking, and security compliance.</li></ul>",
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          "text": "<ul><li>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.</li><li>Databricks platform administration, including workspace management, workspace configuration, cluster optimization, cluster performance tuning, and Unity Catalog integration for secure data governance.</li><li>ETL/ELT pipeline development, Delta Lake architecture and optimization, and data lakehouse optimization for DoD analytics and mission-critical data workflows.</li><li>AI/ML workflow integration within Databricks environments.</li><li>SysEngOps and DevSecOps practices with version control systems (Git) and CI/CD pipelines for streamlined Databricks development, automated deployment, and governance.</li><li>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.</li><li>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.</li><li>Knowledge and capability to support Databricks platform administration and enterprise data architecture for DoD data-driven projects and mission-critical workflows.</li></ul>",
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