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.

Must possess the knowledge and experience of working thru LLM models such Anthropic Claude haiku

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