AI/ML Engineer Level 2

Reposted 37 Minutes Ago
Suitland, MD, USA
In-Office
94K-198K Annually
Mid level
Information Technology • Consulting • Defense
The Role
Seeking a mid-level AI/ML Engineer to design, develop, and deploy machine learning models, manage MLOps practices, and integrate AI into applications for a DoD client. Requires 3-5 years of experience and TS/SCI clearance.
Summary Generated by Built In
Job Title: AI/ML Engineer Level 2

Job Category: Science

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Local

* * *

The Opportunity:

CACI is seeking a skilled and experienced mid-level AI/ML Engineer to join our dynamic team to support a DoD client in Suitland, MD. The ideal candidate will have a strong background in machine learning, deep learning, and AI system development, with a proven track record of designing, developing, and deploying machine learning models. This role requires a deep understanding of MLOps, containerization, and CI/CD pipelines, as well as advanced knowledge in data preprocessing and cloud environments.

Responsibilities:
• Design, develop, and deploy machine learning models and manage pipelines using tools such as Azure ML, Kubeflow, or MLflow.
• Implement and manage MLOps practices, including containerization (e.g., Docker, Kubernetes) and CI/CD pipelines.
• Handle large datasets in cloud environments, performing advanced data preprocessing.
• Develop custom AI APIs and integrate them into enterprise applications.
• Ensure adherence to Responsible AI (RAI) policies and develop metrics, measurements, and evaluation methods for emerging and existing AI areas.
• Collaborate with cross-functional teams to identify opportunities for AI/ML integration and improvement.

Qualifications:

• TS/SCI Clearance
• Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field.
• 3–5 years of experience in machine learning, deep learning, or AI system development.
• Experience in MLOps, containerization (e.g., Docker, Kubernetes), and CI/CD pipelines.
• Proficiency in designing, developing, and deploying machine learning models.
• Advanced knowledge in data preprocessing, including handling large datasets in cloud environments.
• Experience in developing custom AI APIs and integrating them into enterprise applications.
• Strong knowledge of programming languages for Machine Learning (Python, R, or similar).
• Good understanding of AI cloud tools and capabilities.
• Familiarity with Responsible AI (RAI) policies and development of metrics, measurements, and evaluation methods for AI.

Certifications:
• AI Engineer Associate (AI-102)
• Microsoft Certified: Data Scientist Associate
• Or similar relevant certifications

Preferred Skills:
• Experience with cloud platforms (Azure, AWS, GCP)
• Knowledge of distributed computing frameworks (e.g., Apache Spark)
• Familiarity with version control systems (e.g., Git)
 

This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI.

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:

$94,400 - $198,200

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

  • TS/SCI Clearance
  • Bachelor's degree in a related field
  • 3-5 years of experience in AI/ML
  • Experience in MLOps, containerization, and CI/CD
  • Proficiency in machine learning model development
  • Advanced knowledge in data preprocessing
  • Experience in developing AI APIs
  • Strong knowledge of Python, R or similar

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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