AI/ML SME
Job in
Oklahoma City, Oklahoma County, Oklahoma, 73116, USA
Listed on 2026-07-15
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
Job Description & How to Apply Below
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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