AI Infrastructure Engineer

- At least 3 years of experience in developing and deploying hardware infrastructure, including networks, servers, and cloud-based solutions - Minimum 3 years of experience with Linux system administration - Proficient in Full Stack Development employing DevOps methodologies across both cloud and on-premise solutions - Possession of a Secret security clearance is mandatory - Must reside near a major Lockheed Martin facility with classified connectivity - Bachelors degree in a relevant field such as software engineering or similar technical discipline is preferred - 3 or more years of managing and deploying cloud and on-premise infrastructure (Azure, AWS, VMware, etc.) - Familiarity with integrating DevOps tools into end-to-end CI/CD pipelines, containerization, and Kubernetes Administration - Capability to function in an interactive local and virtual team environment utilizing paired programming and test-driven development - Knowledge of AI/ML principles, SDKs, and API usage across various platforms - Ability to obtain a TS/SCI security clearance - Strong communication skills with a collaborative mindset - Experience in monitoring and maintaining the performance of AI systems post-deployment - Knowledge of best practices for securing AI/ML data, ensuring confidentiality, integrity, and availability - Familiarity with Machine Learning models and algorithms, including insights into supervised and unsupervised learning techniques