ML Administrator
**该职位取决于签订合同**SOSi 正在寻求一个 ML 管理员来支持任务要求，以进一步开发，集成和维持可扩展的联合数据生态系统，从而提高对国防部客户的互操作性，治理和使命驱动分析。该计划的主要目标是弥合国防部，IC,机构间和非传统的国际合作伙伴之间的运营差距，以便实时信息共享，动态数据整合和定制为任务的分析能力：· 管理机器学习模型版本，线条跟踪和遵守治理政策，确保可复制性和安全部署。· 实施并监测 ML 基础设施，优化云和本地环境中的计算资源配置。·验证 AI/ML 管道，确保模型保持准确，可解释和与运营目标一致。· 管理 ML 模型治理和部署报告，包括概括模型生命周期管理，性能追踪和安全合规。· 计算机科学，信息技术，系统工程，数据科学，商业管理，工程管理或其他相关领域的士学位或以上 （例如博士学位）; OR 在企业数据架构，数据管理和基于云的数据平台中管理复杂技术项目至少11年经验。· 数据平台管理，包括工作空间管理，工作空间配置，集群优化，集群性能调整以及安全数据治理的团结目录一体化。· ETL/ELT 管道开发，达尔塔湖建筑和优化以及数据湖泊优化用于 DoD 分析和任务关键数据工作流程。·在 Databricks 环境中 AI/ML 工作流集成。·SysEngOps 和 DevSecOps 与版本控制系统 (Git) 和 CI/CD 管道进行简单的 Databricks 开发，自动部署和治理。·身份和访问管理 (IAM),基于角色的访问控制 (RBAC),云安全最佳实践以及遵守 AWS,Azure 和 GCP 中的 DoD 数据政策。· 实践知识在 Python,SQL/NoSQL 数据库，Apache Spark,Databricks SQL,Terraform 以及云原生数据服务中用于大规模的数据处理和分析。·支持 DA 的知识和能力
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**This position is contingent upon award of contract**
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.
Essential Job Duties:
- 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.
- 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.
Work Environment
· Remote
Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Originally posted on Himalayas