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Senior AI Engineer
Thales Defense & Security, Inc.
11 hours ago
Full-time
On-site
Clarksburg, Maryland, United States
Senior AI Engineer
We are seeking a Senior AI Engineer located in our Clarksburg, MD Campus. The Senior AI Engineer will report to the IT DevOps Manager. Responsibilities include leading the architecture, development, training, and deployment of AI/ML models, designing and managing MLOps pipelines, defining and enforcing MLOps standards, integrating AI solutions into on-prem, cloud, and hybrid environments, implementing secure and responsible AI controls, optimizing model and inference performance, collaborating with security, cloud, DevOps, and application teams, ensuring compliant handling of sensitive/classified data, building Python tooling, leading proofs-of-concept, maintaining documentation, guiding monitoring and incident response, and mentoring engineering teams. Qualifications include a U.S. Citizenship, a Bachelor's degree in Computer Science, Data Science, AI, Engineering, Mathematics, or related field, minimum 8 years of progressive experience in software engineering, DevOps, platform engineering, data engineering, or infrastructure, strong Python skills and experience with major ML frameworks, hands-on experience building and maintaining MLOps pipelines, proficiency deploying AI models using Docker, Kubernetes, and Helm, knowledge of AI security, adversarial ML, explainability, and responsible AI principles, experience working with secure data handling and controlled environments, proficiency with Git, CI/CD, IaC, and collaborative development practices, experience with ticketing/ITSM tools, strong analytical, troubleshooting, and organizational skills, ability to lead, mentor, and work independently across cross-functional teams, and strong written and verbal communication skills for technical and non-technical audiences.
We are seeking a Senior AI Engineer located in our Clarksburg, MD Campus. The Senior AI Engineer will report to the IT DevOps Manager. Responsibilities include leading the architecture, development, training, and deployment of AI/ML models, designing and managing MLOps pipelines, defining and enforcing MLOps standards, integrating AI solutions into on-prem, cloud, and hybrid environments, implementing secure and responsible AI controls, optimizing model and inference performance, collaborating with security, cloud, DevOps, and application teams, ensuring compliant handling of sensitive/classified data, building Python tooling, leading proofs-of-concept, maintaining documentation, guiding monitoring and incident response, and mentoring engineering teams. Qualifications include a U.S. Citizenship, a Bachelor's degree in Computer Science, Data Science, AI, Engineering, Mathematics, or related field, minimum 8 years of progressive experience in software engineering, DevOps, platform engineering, data engineering, or infrastructure, strong Python skills and experience with major ML frameworks, hands-on experience building and maintaining MLOps pipelines, proficiency deploying AI models using Docker, Kubernetes, and Helm, knowledge of AI security, adversarial ML, explainability, and responsible AI principles, experience working with secure data handling and controlled environments, proficiency with Git, CI/CD, IaC, and collaborative development practices, experience with ticketing/ITSM tools, strong analytical, troubleshooting, and organizational skills, ability to lead, mentor, and work independently across cross-functional teams, and strong written and verbal communication skills for technical and non-technical audiences.