Machine Learning Engineer (Clearance Sponsorship)

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: 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, ma [... source excerpt omitted ...] ort 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: • 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 contai [... source excerpt omitted ...] ent 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 Agil