AWS Ai/Ml Engineer

An Employer is looking for an AWS AI/ML Engineer to join their team in support of a government multi-cloud environment with 30 customer tenants and growing. They must have extensive cloud knowledge and experience with integration, system analysis or programming experience, including developing cloud systems requirements and design specification. Their day to day will consist of developing and deploying AI/ML models using AWS AI/ML services to collaborate with data scientists and engineers to implement machine learning solutions. They will be working directly with AWS professionals to understand project requirements and deliver solutions, documenting system configurations, procedures, and best practices. This is a fully remote position that requires working online from 8 AM to 5 PM EST. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HRinsightglobal. com. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . -AWS Certified Solutions Architect or AWS Certified Machine Learning. -Familiarity with Kubernetes and other container orchestration platforms. -Experience with infrastructure as code tools specifically Terraform or CloudFormation -Knowledge of scripting languages specifically Python or Bash -Ability to obtain DHS EOD -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.