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AI​/ML SME

Job in Oklahoma City, Oklahoma County, Oklahoma, 73116, USA
Listing for: CACI International Inc.
Full Time position
Listed on 2026-07-15
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Analyst, Cybersecurity
Salary/Wage Range or Industry Benchmark: 94600 - 208000 USD Yearly USD 94600.00 208000.00 YEAR
Job Description & How to Apply Below
Job ID322758

Job Title:

AI/ML SMEJob Category:
Engineering Time Type:
Full time Minimum Clearance Required to Start:
Secret Employee Type:
Regular Percentage of

Travel Required:

Up to 10%
Type of Travel:
Continental US*
*
* The Opportunity:

CACI is seeking a skilled AI/ML Subject Matter Expert (SME) to support an enterprise User Experience Management (UXM) initiative focused on transforming IT telemetry into predictive operational intelligence. This role designs and implements machine learning models within the Data Integration Platform (DIP) to enable anomaly detection, root cause analysis, service health prediction, and automated decision support across Air Force digital environments.

The SME will work closely with data engineers, analysts, platform architects, cybersecurity teams, and IT operators to operationalize AI-driven insights for proactive enterprise IT management.

Responsibilities:

Design and deploy ML models for UXM use cases (anomaly detection, performance forecasting, experience scoring, root cause analysis)
Develop feature engineering pipelines from logs, metrics, traces, and endpoint telemetry

Integrate AI/ML capabilities into the Data Integration Platform (DIP) architecture and operational dashboards

Build and validate MVP models supporting AoA outcomes and UXM operational readiness

Implement MLOps pipelines (training, validation, deployment, monitoring)
Collaborate with cybersecurity teams to ensure RMF-compliant model deployment

Translate model outputs into actionable insights for IT operators and leadership

Support dashboard specification, analytics requirements, and operational reportingDAF Client

Collaboration:

Proactively collaborate with the DAF to understand their software landscape, installation details, licensing requirements, and specific needs related to the assigned software publishers and products

Project Contribution:
Actively participate in project meetings, providing updates on modeling progress, identifying potential challenges, and contributing to the overall success of the project

Qualifications:

Required:

Active Secret Clearance
15+ Years of relevant experience (Bachelor’s Degree in applicable field may be substituted for 5 years of experience).Minimum 7 years’ experience in data science, machine learning, or applied AI (with at least 3 years in operational or enterprise environments)
Hands-on experience with:

Python-based ML frameworks (Tensor Flow, PyTorch, scikit-learn, or equivalent)
Time-series analytics and anomaly detectionETL/ELT pipelines and enterprise data platformsSQL and large-scale datasets

Experience deploying models into production environments

Familiarity with observability, ITOM, or UXM telemetry sources

Prioritization and Management:
Ability to prioritize and manage collecting information and modeling multiple publishers and products, while adhering to deadlines and maintaining high-quality work Desired:

Prior DoD or federal IT program experience

Experience with MLOps frameworks and CI/CD pipelines

Knowledge of UXM, IT operations analytics, or digital experience monitoring

Experience working in RMF-controlled environments

Familiarity with Power BI, Tableau, or similar visualization tools

Exposure to cloud or hybrid AI deployments

Analytical and Problem-Solving

Skills:

Strong analytical and problem-solving skills with the ability to identify and resolve complex issues

Communication and Interpersonal

Skills:

Excellent communication and interpersonal skills, with the ability to effectively interact with the DAF, internal teams, and external vendors

Certifications (One or More Required):

CompTIA Security+ CE (DoD 8570/8140 compliant)
Preferred Technical

Certifications:

AWS Certified Machine Learning – Specialty Microsoft Azure AI Engineer Associate Google Professional Machine Learning Engineer Databricks Machine Learning Professional What You Can Expect:

A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions…
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