You haven't searched anything yet.
Contract to Hire Position: 6 months then convert to direct hire
Fully Remote
Must hold an active public trust clearance with DHS or be able to obtain one
Hourly pay rate: $64-77 on w2, Yearly salary of $140K on conversion
AWS AI ML Engineer
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.
Requirements:
Master’s degree in Computer Science, Business Administration Science, Mathematics, or Engineering
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.
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.
Must be able to work the hours of 8am-5pm Eastern Time regardless of your home location
Full Time
$116k-138k (estimate)
09/12/2024
09/25/2024