AI/ML SME

Reposted 21 Days Ago
Be an Early Applicant
Tiner, OK, USA
In-Office
95K-208K Annually
Expert/Leader
Information Technology • Consulting • Defense
The Role
The AI/ML SME will design and implement machine learning models for IT telemetry, collaborating with engineers and operators to enhance operational intelligence.
Summary Generated by Built In
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 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

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.

Skills Required

  • 15+ years of relevant experience
  • Active Secret Clearance
  • Minimum 7 years' experience in data science, machine learning, or applied AI
  • Hands-on experience with Python-based ML frameworks
  • Experience deploying models into production environments
  • Familiarity with observability, ITOM, or UXM telemetry sources

CACI International Inc Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CACI International Inc and has not been reviewed or approved by CACI International Inc.

  • Healthcare Strength Pay is supported by a broad set of health-plan options across multiple national carriers, with telemedicine and tax-advantaged accounts included. Dental and vision choices are also described as multi-option, which strengthens overall coverage breadth.
  • Leave & Time Off Breadth Flexible Time Off is available for many salaried-exempt roles, while hourly roles accrue PTO, creating multiple time-off pathways by employment class. Paid disability coverage, fixed holidays, and paid leave programs (including parental leave and other leave types) further round out time-off and leave coverage.
  • Retirement Support Retirement support includes a 401(k) match structure described as 50% up to 8% of pay (effective 4%) and an Employee Stock Purchase Plan with a discount. Tuition reimbursement and certification support also add to the overall rewards package that complements core retirement benefits.

CACI International Inc Insights

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The Company
Bristol
17,673 Employees
Year Founded: 1962

What We Do

CACI’s approximately 23,000 talented employees are vigilant in providing the unique expertise and distinctive technology that address our customers’ greatest enterprise and mission challenges. Our culture of good character, innovation, and excellence drives our success and earns us recognition as a Fortune World's Most Admired Company. As a member of the Fortune 1000 Largest Companies, the Russell 1000 Index, and the S&P MidCap 400 Index, we consistently deliver strong shareholder value. Visit us at www.caci.com.

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