SOSi

ML Administrator

Remote, Remote, United States

Open 5 months, first seen by us 179 days ago

Pay: Pay not listedSimilar roles state $154K–$225K
Work setting: Remote — work setting source
Work Environment Remote Working at SOSi
Listed location: Remote, Remote, United States
Read the full posting
Employment: Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting

Manage ML model versioning, lineage tracking, and governance compliance
Implement and monitor ML infrastructure and compute allocation across cloud and on-prem
Validate AI/ML pipelines so models stay accurate and explainable
Report on model lifecycle, performance tracking, and security compliance

From the employer’s posting

Manage machine learning model versioning, lineage tracking, and compliance with governance policies

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.

What you’ll bring

All qualifications

Core experience

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.
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.

Qualification wording

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.

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.

Education & alternatives

Qualifications - 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.

Apply at SOSi

Posting record

Report an error

Open 5 monthsWe first saw this posting 179 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: May 9, 2026179 days ago
Recorded sightings: 403
Last seen by us: Nov 4, 2026
Employer says posted: Feb 11, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$154K–$225K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,958 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 179

Up longer than most. Similar jobs usually come down between day 7 and day 53.

From 7,797 similar postings that came down. Coming down is not always a hire.

SOSi is hiring

30 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring at a steady pace
Takes jobs down at a usual pace
13% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
AWS
Azure
Databricks
Delta Lake
GCP
NoSQL
Spark
Terraform

Where the posting names them

- 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.

- 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.

Qualifications - 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.

- 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.

- 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.

- 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. Additional Information

- 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.

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Job description

View original posting ↗

Job Description

**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.

Qualifications

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.

Additional Information

Work Environment

Remote

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.

Company Description

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.

Source details