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דרושים Cloud Engineer - AI Trainer בכל הארץ

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Cloud Engineer - AI Trainer

 

21/11/2025

 כל הארץ

 micro1

Job Title: Cloud Engineer - AI trainer

Job Type: Part-time

Location: Remote

Job Summary

Join our customer's team as a Cloud Engineer - AI trainer and play a vital role in the innovation of AI training projects. In this unique position, you will leverage your cloud expertise and technical knowledge to design, implement, and optimize full-cycle AI prompting workflows. Collaborate remotely with a passionate team, influencing AI solutions that drive real-world impact.

Key Responsibilities

  • Design and manage robust cloud infrastructure tailored for AI training and large-scale data processing.
  • Create, test, and refine end-to-end AI prompt engineering workflows for optimal model performance.
  • Collaborate closely with data scientists and engineers to develop scalable, secure, and efficient AI solutions.
  • Document technical processes and provide clear, actionable feedback to enhance project outcomes.
  • Ensure the reliability, security, and compliance of cloud environments used for AI training.
  • Support the team with troubleshooting, deploying updates, and integrating new technologies as needed.
  • Share cloud best practices and mentor team members in cloud-based AI methodologies.

Required Skills and Qualifications

  • Bachelor’s degree in Computer Science or a related technical field.
  • Minimum 2 years of hands-on experience as a Cloud Engineer or in a related role.
  • Demonstrable expertise in cloud platforms (AWS, Azure, or Google Cloud) and associated AI services.
  • Strong written and verbal communication skills, with the ability to explain complex concepts clearly.
  • Proven track record of building, deploying, and optimizing cloud-based AI systems.
  • Experience with prompt engineering and end-to-end AI workflow development.
  • Ability to work independently and collaboratively in a remote, cross-functional environment.

Preferred Qualifications

  • Advanced certifications in cloud technologies or AI (e.g., AWS Certified Solutions Architect, Google Cloud Professional Data Engineer).
  • Prior experience training AI models or developing AI-driven applications in a cloud environment.
  • Passion for continuous learning and staying updated on advancements in AI and cloud computing.

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