Machine Learning Engineer Chantilly, VA, US

## Machine Learning Engineer Chantilly, VA, USApply Now Find out how well you match with this jobJob ID323698

Job Title:

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 (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 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…