AI​/ML Engineer Level 2 Security Clearance

Position: AI/ML Engineer Level 2 with Security Clearance
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 _____________________________________________________________________________________ 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. Your potential is limitless. So is ours. Learn more about CACI here. ________________________________________________________________________________________ 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.…