AWS AI/ML Engineer

Insight Global is looking for an AWS AI/ML Engineer with a strong focus on AWS AI/ML and containerization technologies for development, modernization, and migration in support of a government multi-cloud environment with 30+ customer tenants and growing. Aside from technical qualifications, application should have effective communication skills, both written and verbal.The applicant must have extensive cloud knowledge and experience with integration, system analysis or programming experience, including developing cloud systems requirements and design specification. A passion for performance, strong desire for quality conformance, excellent problem-solving skills and attention to detail are prerequisites for this position.Key Responsibilities:• 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.• Provide technical guidance and mentorship to junior team members.Must Haves:• Minimum 10+ years of experience directly related work in area of expertise• 5+ years of experience as an AWS Engineer operating within a Linux environment managing and optimizing Linux systems for AWS• Expertise implementing AWS AI/ML solutions and utilizing containerization platforms such as AWS Cloud Containerization services, Docker, and others.• Master's degree in Computer Science, Information Technology, or a related field. (Equivalent years of experience may also be substituted for education)• 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.