
AI/ML SME Job at CACI in Oklahoma City
CACI, Oklahoma City, OK, United States
Job Title: AI/ML SME
Job 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 reporting
DAF 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:
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 (TensorFlow, PyTorch, scikit‑learn, or equivalent)
Time‑series analytics and anomaly detection
ETL/ELT pipelines and enterprise data platforms
SQL 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 that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.
Pay Range
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$94,600 - $208,000
CIAC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.
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Job 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 reporting
DAF 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:
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 (TensorFlow, PyTorch, scikit‑learn, or equivalent)
Time‑series analytics and anomaly detection
ETL/ELT pipelines and enterprise data platforms
SQL 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 that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.
Pay Range
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$94,600 - $208,000
CIAC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.
#J-18808-Ljbffr