Machine Learning Engineer Security Clearance

Position: Machine Learning Engineer with Security Clearance
Machine Learning Engineer Job Category:
Information Technology Time Type:
Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type:
Regular Percentage of

Travel Required:

None Type of Travel:
None *
*
* The Opportunity:

CACI is seeking a Software Developer with AI experience to join our dynamic team. This role will focus on developing and implementing AI solutions to enhance our enterprise-level IT operations. The Developer will work closely with cross-functional teams to design, develop, and deploy AI-driven applications that improve efficiency, automate processes, and provide valuable insights. Responsibilities:
Develop and maintain machine learning pipelines and applications using Python and modern ML frameworks

• Implement and optimize algorithms for large language model (LLM) integration and deployment

• Build RESTful APIs and microservices to serve ML models in production environments

• Write clean, maintainable, and well-documented code following object-oriented programming principles

• Collaborate with cross-functional teams to understand requirements and translate them into technical solutions

• Work with databases (SQL,No

SQL and Vector) to manage training data, model artifacts, and application state

• Containerize ML applications using Docker for consistent deployment across environments

• Utilize Git for version control and participate in code reviews to maintain code quality

• Conduct testing and debugging of ML applications to ensure reliability and accuracy

• Support the deployment and monitoring of AI/ML models in cloud environments

• Stay current with emerging trends in machine learning, LLMs, and AI engineering best practices

Qualifications:

Required:

• Active TS/SCI clearance with Poly

• Bachelor's degree in computer science, Software Engineering, Data Science, or related technical field with 5 years of professional experience in software development or machine learning engineering

• Strong proficiency in Python programming with solid understanding of object-oriented programming (OOP) concepts, design patterns, data structures, and algorithms

• Experience with development tools and practices including Git version control, Docker containerization, and database management (SQL and/or No

SQL)

• Knowledge of LLM technologies including exposure to Large Language Models, orchestration frameworks (Lang Chain, Lang Graph),

• Understanding of RAG architectures and vector databases (Chroma

DB, Pinecone, Weaviate, or similar) for building intelligent retrieval systems

• Strong problem-solving abilities, attention to detail, excellent communication skills, and eagerness to learn in a collaborative team environment Desired:
• Master's degree in computer science or related field

• Experience with cloud platforms (AWS, Azure, or Google Cloud) and knowledge of MLOps practices for ML model deployment and monitoring

• Experience with container orchestration and Dev Ops including Kubernetes, Rancher, CI/CD pipelines, and infrastructure automation tools like Ansible

• Familiarity with enterprise platforms such as Service Now, SAP, Tableau, or Splunk

• Contributions to open-source ML projects and familiarity with Agile development methodologies - ________________________________________________________________________________________ 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…