AI/ML SME

CACI International Inc

OK

JOB DETAILS
SALARY
$94,600–$208,000 Per Year
SKILLS
Air Force, Amazon Web Services (AWS), Analysis Skills, Artificial Intelligence (AI), Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Data Analysis, Data Modeling, Data Science, Database Extract Transform and Load (ETL), Decision Support, Establish Priorities, Forecasting, Hybrid Cloud, Information Models, Information Technology & Information Systems, Internet Security, Interpersonal Skills, Leadership, Licensing, Machine Learning, Management of Information Systems/Technology (MIS), Metrics, Microsoft Windows Azure, Model Validation, Operational Audit, Power BI, Problem Solving Skills, Production Systems, Python Programming/Scripting Language, Quality Management, Reporting Dashboards, Requirements Management, Root Cause Analysis, SQL (Structured Query Language), Safety/Work Safety, Secret Clearance, Software Installation, Tableau, Technical Support, Telemetry, Time Management, Time Series Analysis, Training Data Sets, United States Department of Defense (DoD), Use Cases, User Interface/Experience (UI/UX), Willing to Travel
LOCATION
OK
POSTED
30+ days ago

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:

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 (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 nations 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: The proposed salary range for this position is: $94,600 - $208,000

CACI 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.

About the Company

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CACI International Inc