ML Administrator

🕒 February 25

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SOSi

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1989

🏛️ Government

🤖 Artificial Intelligence

🔒 Cybersecurity

Government • Artificial Intelligence • Cybersecurity

SOSi is a government-focused defense and intelligence contractor that delivers mission-critical digital infrastructure, AI/ML, cyber, cloud, and intelligence services to the U. S. Army and other government agencies. The company provides solutions across software development, DevSecOps, ISR integration, data science, logistics, language and human services, training, and operations & maintenance to enable secure communications, advanced analytics, and operational effectiveness for U. S. and allied forces.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Remote Work