Engineer- AWS Ai/Ml Engineer

Job ID: 24-03409 AWS AI/ML Engineer REMOTE MUST: Eligible for a Public Trust Experienced AWS AI/ML Engineer 10 years of overall experience 5 years of experience as an AWS Engineer operating within a Linux environment Expertise implementing AWS AI/ML solutions and utilizing containerization platforms such as AWS Cloud Containerization services, Docker, and others.

Expertise in AWS AI services and machine learning model deployment. Strong proficiency in containerization technologies, including AWS Cloud Containerization services and Docker. Experience with CI/CD tools and practices.

Solid understanding of networking, security, and system architecture. Master's degree in Computer Science, Information Technology, or a related field. (Equivalent years of experience may also be substituted for education) DUTIES: Develop and deploy AI/ML models using AWS AI/ML services (e.g., SageMaker, Rekognition, Comprehend) and collaborate with data scientists and engineers to implement machine learning solutions.

Install, configure, and maintain Linux servers while ensuring system performance, security, and stability. Design, implement, and manage containerized applications using AWS Cloud Containerization services (e.g., ECS, EKS) and Docker, developing CI/CD pipelines for automated deployment and scaling. Work closely with cross-functional teams to understand project requirements and deliver robust solutions, documenting system configurations, procedures, and best practices.

Quadrant is an affirmative action/equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, status as a protected veteran, or status as an individual with a disability.