AI/ML Engineer

AI/ML Engineer Imagine using artificial intelligence (AI) to improve critical IT operations for integrated warfighting capabilities. As a DevOps engineer, you will create efficient and effective solutions to deliver operational data quickly. You will streamline IT operations, enhance platform productivity, and support next‑generation autonomy and decision‑support capabilities. Responsibilities • Guide the development of mission‑critical AI solutions by building reproducible pipelines, applying automation best practices, and introducing emerging tools that enhance performance and reliability. • Collaborate with AI Model Engineers, Data Engineers, Cloud Architects, and ISSEs to align AI and ML workflows with infrastructure and security requirements, ensuring seamless integration into production and mission systems. • Contribute to solutions that optimize resilience of warfighting capabilities, including data flows, operational workflow automation, workload environmental monitoring, workload management, and resilient mission execution across hybrid compute environments. Qualifications 5+ years of experience developing tools and processes to drive DevOps or DevSecOps maturity by automating builds, testing, monitoring, and releases across environments. 5+ years of experience with scripting languages such as Python or Linux Shell Script and configuration management tools. 5+ years of experience automating infrastructure provisioning and improving continuous automation across multiple technical stacks. 5+ years of experience troubleshooting, triaging, and resolving CI/CD pipeline issues built using Kubernetes, Docker, or Jenkins. 5+ years of experience with AI/ML capabilities applied to policy‑controlled workload management and orchestration, including Zero‑Trust containerized applications and data. 5+ years of experience troubleshooting, triaging, and resolving issues related to open‑source and commercial tools in public cloud environments. Experience with artificial intelligence and machine learning frameworks for monitoring and optimization, containerization, and container orchestration platforms and tools. Experience adding testing and security scans to pipelines. Secret clearance. Bachelor's degree. Nice to Have Experience with cloud platforms like AWS, Azure, or Google Cloud Platform. Experience integrating AI systems architecture, AI platforms, or ML flow. TS/SCI clearance. ML, DevOps, or solution architecture certification. Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Secret clearance is required. Compensation Projected annual salary range: $77,500.00 to $176,000.00 (USD). Compensation will be determined by location, education, skills, and experience. Benefits The company offers health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Full‑time and part‑time employees working at least 20 hours per week are eligible for benefit programs. Equal Employment Opportunity All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law. #J-18808-Ljbffr