Machine Learning Engineer (Clearance Sponsorship)

CACI International Inc; Chantilly (VA); On-site; USD 113,200 - 237,800; Full time

Benefits offered by this job

Healthcare benefits

Flexible time off

Continuing education opportunities

Job summary

CACI International Inc is looking for a Machine Learning Engineer in Chantilly, Virginia. This full-time position involves developing AI solutions to enhance IT operations, maintaining ML pipelines, and collaborating with cross-functional teams. Candidates should have a Bachelor's degree in a technical field and strong Python skills. The salary range is $113,200 - $237,800, and the role requires an Active TS/SCI clearance with Polygraph.

Qualifications

• Must be able to obtain Active TS/SCI clearance with Poly.
• 5 years of professional experience in software development or machine learning engineering.
• Experience with LLM technologies and orchestration frameworks.

Responsibilities

• Develop and maintain machine learning pipelines using Python.
• Build RESTful APIs to serve ML models in production.
• Conduct testing and debugging of ML applications.

Skills

Python programming

Machine learning engineering

Problem-solving

Attention to detail

Communication skills

Education

Bachelor's degree in computer science, Software Engineering, Data Science

Tools

Docker

Git

SQL

NoSQL

Job description

Job Title: Machine Learning Engineer (Clearance Sponsorship)

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, NoSQL 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

Required Qualifications

• Must be able to obtain 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 NoSQL)
• Knowledge of LLM technologies including exposure to Large Language Models, orchestration frameworks (LangChain, LangGraph)
• Understanding of RAG architectures and vector databases (ChromaDB, 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 Qualifications

• 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 DevOps including Kubernetes, Rancher, CI/CD pipelines, and infrastructure automation tools like Ansible
• Familiarity with enterprise platforms such as ServiceNow, 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.

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:

$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.