Machine Learning Administrator

Base-2 Solutions is seeking a Machine Learning Administrator to support USSOUTHCOM J26 ENHANCED DOMAIN AWARENESS task order. This role involves administration of the Databricks platform and enterprise data architecture for DoD data-driven projects, focusing on secure data governance, data pipeline development, and cloud security across multiple cloud providers., * Support Databricks platform administration including workspace management, cluster optimization, and Unity Catalog integration for secure data governance.

• Develop ETL pipelines, optimize Delta Lake architecture, and enhance data lakehouse performance for DoD analytics and mission-critical data workflows.
• Perform SysEngOps, DevSecOps, version control (Git), and CI/CD pipeline management to streamline Databricks development and deployment.
• Implement identity and access management (IAM), role-based access control (RBAC), and cloud security best practices across AWS, Azure, and GCP.
• Utilize Python, SQL/NoSQL, Apache Spark, Databricks SQL, Terraform, and cloud-native data services for large-scale data processing and analytics.

Do you have experience in Version control systems?, Do you have a Master's degree?, * 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.

• Strong background in Databricks platform administration including workspace configuration, Unity Catalog, cluster performance tuning, and cloud integration.
• Experience in data pipeline development (ETL/ELT), Delta Lake optimization, and AI/ML workflow integration.
• Proficiency in SysEngOps, DevSecOps, version control systems (Git), and CI/CD pipelines for automated deployment and governance.
• Knowledge of cloud security, role-based access control (RBAC), and compliance with DoD data policies across AWS, Azure, and GCP., * 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 Not specified..
• No degree.
• OR Minimum of 11 years of experience managing complex technical projects in enterprise data architecture, Databricks administration, and cloud-based data platforms.

Pulled from the full job description

• Flextime
• Referral program
• AD&D insurance
• 401(k)
• Paid time off
• Vision insurance
• Health savings account, * Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity).
• Employee referral bonuses up to $10,000 per hired referral.
• Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent)., * Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS, HMO, and HSA-compatible plans.
• 100% company-paid dental premiums for employees and eligible dependents.
• 100% company-paid vision premiums for employees and eligible dependents.

Income Protection

• 100% company-paid premiums for short-term disability.
• 100% company-paid premiums for long-term disability.
• 100% company-paid premiums for accidental death & dismemberment (AD&D).
• 100% company-paid premiums for life insurance up to $200,000.

Retirement

• 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total).
• 401(k) pre-tax and Roth options.

Leave

• Up to 20 days of flexible paid time off (PTO).
• 11 paid floating holidays.

Work-Life Balance

• Flexible work schedules, including flex time and compressed work periods (contract and project-dependent).