Machine Learning Engineer

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

Benefits offered by this job

Flexible time-off

Robust learning resources

Autonomy in work

Job summary

A leading technology solutions firm is seeking a Machine Learning Engineer in Chantilly, Virginia. The role focuses on developing AI solutions, maintaining ML applications, and optimizing algorithms. Candidates should have a Bachelor's degree in a relevant field and TS/SCI clearance. CACI offers a dynamic environment with a competitive salary range of $113,200 - $237,800.

Qualifications

• Active TS/SCI clearance with Polygraph.
• 5+ years of professional experience in software development or machine learning engineering.
• Experience with cloud platforms (AWS, Azure, or Google Cloud) preferred.

Responsibilities

• Develop and maintain machine learning pipelines and applications.
• Implement and optimize algorithms for LLM integration.
• Collaborate with cross-functional teams to design and deploy AI solutions.

Skills

Python programming

Machine learning

Problem-solving

Attention to detail

Communication skills

Education

Bachelor's degree in computer science or related field

Master's degree in computer science or related field

Tools

Docker

Git

SQL

NoSQL

Job description

Location: Chantilly, Virginia, United States of America. TS/SCI with Polygraph 319507

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

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

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 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:

• 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.

Your potential is limitless. So is ours.

Learn more about CACI here.

Pay Range

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.

Advance the future of national security while working at the intersection of technology, government, and defense. For more than six decades, CACI has been pioneering ground‑breaking solutions and helping our customers harness emerging technologies. CACI offers boundless career opportunities for employees to support their country, grow their skills, and expand their horizons.

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