Machine Learning Engineer

Join to apply for the Machine Learning Engineer role at CACI International Inc.

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.

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.

• 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

• 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

• 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

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 $113,200 - $237,800

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.