ML Administrator

Prescient Edge is seeking aML Administratorto support a Federal Government client.

Please note that the availability of this position is contingent upon contract award.

Benefits:

AtPrescientEdge we believe that acting with integrity and serving our employees is the key to everyones success. To that end we provide employees with a best-in-class benefits package that includes:

• A competitive salary with performance bonus opportunities.
• Comprehensive healthcare benefits including medical vision dental and orthodontia coverage.
• A substantial retirement plan with no vesting schedule.
• Career development opportunities including on-the-job training tuition reimbursement and networking.
• A positive work environment where employees are respected supported and engaged.

Description:

• ML Administrator (Manage knowledge graph metadata integration data governance and cataloging in Databricks Unity Catalog.)
• Proposed personnel possess the knowledge and capability to support Databricks platform administration and enterprise data architecture for DoD data-driven projects: 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.
• Shall manage machine learning model versioning lineage tracking and compliance with governance policies ensuring reproducibility and secure deployment.
• Shall implement and monitor ML infrastructure optimizing compute resource allocation across cloud and on-premises environments.
• Shall submit the ML Model Governance & Deployment Report summarizing model lifecycle management performance tracking and security compliance.

Experience:

• 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 configuration Unity Catalog cluster performance tuning and cloud integration.
• Data pipeline development (ETL/ELT) Delta Lake optimization and AI/ML workflow integration.
• SysEngOps DevSecOps version control systems (Git) and CI/CD pipelines for automated deployment and governance.
• Cloud security role-based access control (RBAC) and compliance with DoD data policies across AWS Azure and GCP.

Education:

• Masters 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.

Security clearance:

• Must be a US citizen and able to obtain a clearance.

Location:

• Doral Florida. (USSOUTHCOM Headquarters)