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AI / Machine LearningOnsite

Machine Learning Engineer, ProServe Data & AI

Amazon - Company

Toronto, Ontario, ๐Ÿ‡จ๐Ÿ‡ฆ CanadaFull-time - Senior (4-7 years)0 applicantsCloses Jun 20, 2026

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Job description

Job details

  • Location: Toronto, Ontario
  • Work mode: Onsite
  • Employment type: Full-time (Not an internship)
  • Salary: Salary details are available in the employer description.

Role overview

Amazon is seeking a Machine Learning Engineer to join the ProServe Shared Delivery Team focused on Data & AI solutions. This Senior-level, Full-time position is based in Toronto, Ontario and offers an Onsite work environment. The role centers on building software solutions around complex machine learning and artificial intelligence systems, helping global enterprises derive business value from generative AI adoption and automation.

Job details

This position is located in Toronto, Ontario and follows an Onsite work model. It is a Full-time role requiring expertise in machine learning engineering and AI system design. Salary details are available in the employer description. The successful candidate will work with large-scale heterogeneous data to develop AI/ML models and deliver enterprise-grade solutions for Amazon's professional services clients.

Responsibilities

  • Design and build software solutions for complex ML and AI systems
  • Help global enterprises adopt and automate generative AI technologies
  • Develop AI/ML models using large volumes of heterogeneous data
  • Deliver scalable machine learning solutions for ProServe clients
  • Collaborate with cross-functional teams on data and AI initiatives

Requirements

  • 4-7 years of experience in machine learning engineering
  • Strong expertise in AI/ML frameworks and model development
  • Proficiency in Python and cloud-based ML platforms
  • Experience building production-grade ML systems at scale
  • Knowledge of generative AI and large language models
  • Bilingual proficiency in English and French is an asset

Benefits

  • Work with cutting-edge AI and ML technologies
  • Collaborate with global enterprise clients
  • Professional development opportunities
  • Comprehensive Amazon benefits package

Keywords

Machine LearningArtificial IntelligenceGenerative AIPythonAWSData EngineeringML SystemsDeep Learning