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 practicesRequired 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 environmentDesired 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 . Job Title: Machine Learning Engineer (Clearance Sponsorship)Job Category: Information TechnologyTime Type: Full timeMinimum Clearance Required to Start: TS/SCI with PolygraphEmployee Type: RegularPercentage of Travel Required: NoneType of Travel: None* * * The Opportunity: CACI is seeking a Software Developer with AI experience to join our dynamic team.