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Machine Learning Architect (AWS) - Remote

Posted 4 days ago
Software Development
Full Time
Canada

Overview

We are expanding our team of motivated technologists with a proven track record of delivering results in technology consulting. We are looking for a Machine Learning Architect with experience in cloud (AWS preferred) who is passionate about helping customers build AI/ML solutions at scale.

In Short

  • Design machine learning solutions and execute projects from proof-of-concept to production.
  • Work directly with business representatives to understand requirements.
  • Responsible for all phases of machine learning projects.
  • Design architecture of ML solutions on cloud platforms.
  • Stay updated on machine learning research and adapt models.
  • Establish credibility through technical excellence and value delivery.

Requirements

  • Masters with 10+ years or PhD with 6+ years in Machine Learning.
  • 5+ years of experience architecting and building ML solutions.
  • 5+ years of experience with cloud platforms (AWS, GCP, Azure).
  • Experience building ML models and knowledge of ML techniques.
  • Strong coding experience in Python and architectural patterns.
  • Solid understanding of agile methodologies.
  • Strong problem-solving skills and technical leadership ability.
  • Excellent communication and presentation skills.

Benefits

  • Opportunity to work with cutting-edge technology.
  • Collaborative and innovative team environment.
  • Direct impact on customer’s business.
  • Professional growth and development opportunities.
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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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