Contract to Hire Positions: 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
Equal Opportunity Employer/Veterans/Disabled
Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits, and a 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pays upon meeting eligibility criteria.
To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy
The Company will consider qualified applicants with arrest and conviction records.