Machine Learning Engineer (Clearance Sponsorship)

This opportunity at CACI offers clearance sponsorship for TS/SCI with Poly and is based onsite in Chantilly, VA. The role centers on developing and deploying AI and ML solutions, building robust data pipelines and APIs, and enabling cloud deployment with Large Language Model integration.

Benefits

• Healthcare
• Wellness benefits
• Financial benefits
• Retirement benefits
• Family support benefits
• Continuing education benefits
• Time off benefits

Culture and Growth

A culture of integrity, an environment of trust, and a focus on continuous growth define the team. This onsite role in Chantilly, VA offers opportunities to collaborate across disciplines while advancing in a field that blends ML engineering with practical, deployable solutions.

Responsibilities

• Develop and maintain machine learning pipelines and applications using Python and modern ML frameworks
• Implement and optimize algorithms for large language model 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

Requirements

• 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 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

Technologies

• Python
• Git
• Docker
• SQL
• NoSQL
• LangChain
• LangGraph
• ChromaDB
• Pinecone
• Weaviate
• AWS
• Azure
• Google Cloud
• Kubernetes
• Rancher
• CI/CD pipelines
• Ansible
• ServiceNow
• SAP
• Tableau
• Splunk

Compensation and Details

Salary range: $113,200 - $237,800 per year

Location: Chantilly, VA (onsite)

Education and experience: Bachelor's degree with minimum 5 years of professional experience in software development or machine learning engineering

Clearance: Must be able to obtain Active TS/SCI clearance with Poly