Description

Job Description:

  • Must Have Skill: Must possess the knowledge and experience of working thru LLM models such Anthropic Claude haiku
  • 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

Key Skills
Education

Any Graduate

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