Position: Machine Learning (ML) Administrator
LCAT: Senior
Location: SOUTHCOM HQ, Doral, FL / Off-site
Office: U.S. SOUTHERN COMMAND J2
Required clearance: TS/SCI
Required education: 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 a minimum of 11+ years of relevant experience.
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.
- Support the validation of AI/ML pipelines, ensuring models remain accurate, explainable, and aligned with operational objectives.
- Submit the ML Model Governance & Deployment Report, summarizing model lifecycle management, performance tracking, and security compliance.
Required Experience: - 11+ years of experience managing complex technical projects in enterprise data architecture, Databricks administration, and cloud-based data platforms.
- Strong background in databricks platform administration, including workspace configuration, Unity Catalog, cluster performance tuning, and cloud integration.
- Strong background in data pipeline development (ETL/ELT), Delta Lake optimization, and AI/ML workflow integration.
- Strong background in SysEngOps, DevSecOps, version control systems (Git), and CI/CD pipelines for automated deployment and governance.
- Strong background in Cloud security, role-based access control (RBAC), and compliance with DoD data policies across AWS, Azure, and GCP.
- Proposed personnel possess the knowledge and capability to support Databricks platform administration and enterprise data architecture for DoD data-driven projects.
Other requirements:- Skilled in Databricks platform administration, including workspace management, cluster optimization, and Unity Catalog integration for secure data governance.
- Proficient in ETL pipeline development, Delta Lake architecture, and data lakehouse optimization for DoD analytics and mission-critical data workflows.
- Experienced in SysEngOps, DevSecOps, version control systems (Git), and CI/CD pipelines to streamline Databricks development and deployment.
- Knowledgeable in identity and access management (IAM), role-based access control (RBAC), and cloud security best practices across AWS, Azure, and GCP.
- Hands-on expertise in Python, SQL/NoSQL, Apache Spark, Databricks SQL, Terraform, and cloud-native data services for large-scale data processing and analytics.
Nalley Consulting fringe benefits include:
- Excellent medical, dental, and vision benefits
- PTO
- 11 paid federal holidays
- Tuition assistance
- Paid military-reserve leave
- Paid parental leave for birth or adoption
- 401k matching up to 5 percent of the base salary
- Flex time
- Company-paid short-term disability, long-term disability, and life insurance.
