AWS Cloud AI/ML Solutions Architect

4 weeks ago


Wilmington, Delaware, United States Diverse Lynx Full time
Job Title:
AWS Cloud AI/ML Solutions Architect

Location :
Wilmington, DE

JD:

Must Have Skill:
Must possess the knowledge and experience of working thru Large Language Model (LLM) models such as Anthropic Claude.


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.

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.

Qualification:


A bachelor's degree in computer science, information technology, or any relevant field A master's degree is preferred but not mandatory.

AWS Solutions Architect, Associate or Professional, is good to have and holds high weight.
Strong knowledge of cloud concepts, architecture patterns, and best practices
Proven experience in designing, implementing, and maintaining AWS solutions using AI/ML

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination.

All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role.

We promote and support a diverse workforce across all levels in the company.

Responsibilities:
  • Develop and deploy AI/ML models using AWS AI/ML services
  • Collaborate with data scientists and engineers to implement machine learning solutions
  • Install, configure, and maintain Linux servers
  • Design, implement, and manage containerized applications
  • Expertise in AWS AI services and machine learning model deployment
  • Strong proficiency in containerization technologies


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