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Machine Learning Operations (MLOps) Architect (GCP) - Remote

Posted Yesterday
Software Development
Full Time
Egypt

Overview

As a seasoned Machine Learning Operations (MLOps) Architect, you will design, build, and optimize machine learning platforms, focusing on developing scalable inference systems and deploying ML platforms in production environments.

In Short

  • Architect and optimize ML Platforms for machine learning and deep learning models.
  • Collaborate with cross-functional teams to translate business objectives into engineering solutions.
  • Lead development and operation of high-performance inference systems.
  • Provide technical leadership and mentorship to engineering teams.
  • Develop CI/CD workflows for ML models and data pipelines.
  • Automate model training, validation, and deployment.
  • Monitor and maintain ML models in production.
  • Ensure reproducibility of experiments using ML metadata tracking tools.
  • Manage model versioning and rollbacks.
  • Optimize model inference infrastructure for efficiency.

Requirements

  • Bachelor's degree in computer science or related field.
  • 5+ years of relevant industry experience.
  • Experience in designing scalable machine learning inference systems.
  • Hands-on experience with TensorFlow, PyTorch, and Hugging Face.
  • Experience with Google Cloud Platform (GCP) services.
  • Strong problem-solving skills and critical thinking.
  • Effective communication skills for remote work environments.
  • Expertise in public cloud platforms, especially GCP.
  • Experience in building agentic AI systems.
  • In-depth understanding of large language model architectures.

Benefits

  • Opportunity to work with cutting-edge technology.
  • Professional and personal growth commitment.
  • Collaborative work environment.
  • Engaging challenges solving complex business problems.
  • Supportive team culture.
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Rackspace

Rackspace is a leading provider of cloud solutions, specializing in advanced technical support and management of complex AWS-based environments. The company focuses on delivering high-performance, secure, and scalable cloud architectures while ensuring optimal operational efficiency. With a commitment to customer satisfaction, Rackspace empowers its teams to troubleshoot critical issues, implement automation, and lead innovative projects in cloud migration and modernization. The company values technical expertise, collaboration, and continuous improvement, making it a trusted partner for businesses navigating their cloud journeys.

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