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Senior Artificial Intelligence Engineer - GCP - Remote

Posted Yesterday
Software Development
Full Time
USA

Overview

This role involves working as a Machine Learning Architect and engineer, focusing on building AI/ML solutions in GCP cloud environments.

In Short

  • Design and execute machine learning projects from proof-of-concept to production.
  • Work directly with business representatives to understand requirements.
  • Manage all phases of projects including problem definition and model deployment.
  • Architect ML solutions on GCP including MLOps.
  • Stay updated with the latest in machine learning research.
  • Establish strong customer relationships through technical excellence.

Requirements

  • Masters with 10+ years or PhD with 6+ years in Machine Learning.
  • 5+ years of experience architecting ML solutions.
  • 5+ years of experience with GCP cloud.
  • Experience with ML techniques and model building.
  • Proficiency in Python and architectural patterns like microservices.
  • Understanding of agile methodologies for ML project planning.
  • Strong problem-solving skills and leadership in technical issues.
  • Excellent communication skills for diverse audiences.

Benefits

  • Opportunity to work with cutting-edge technology.
  • Collaborative and innovative work environment.
  • Impactful role with direct customer engagement.
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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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