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Expert Machine Learning Platform Engineer for Scalable Solutions

ODAIA
Full TimemidHybrid
Toronto, Ontario, CAPosted April 16, 2026

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PythonJavaGoTerraformAirflow

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Job Description

Drive impactful machine learning solutions as a Staff Engineer. Collaborate in a hybrid work environment to design and operate robust infrastructure for complex online applications. In this pivotal role, you will lead the development of machine learning platform solutions within a collaborative team.

Requirements include strong software engineering skills in Python, Go, or Java, alongside a deep understanding of online recommendation and reinforcement learning systems. Expect to design high-precision feature serving layers and oversee the end-to-end observability for effective operation. Key Responsibilities:

  • Design infrastructure solutions for model training
  • Build real-time inference systems for production use
  • Create high-accuracy feature serving layers
  • Implement end-to-end observability frameworks
  • Collaborate on cross-functional initiatives with Security and Data Engineering Requirements:
  • 10+ years in ML/data platform engineering
  • Proficient in Python, Go, or Java
  • Expertise in feature stores and ML deployments
  • Familiar with Terraform and GitOps methodologies
  • Experience with large-scale Airflow orchestration Become a leader in developing machine learning infrastructure, driving innovations for effective, scalable solutions that address complex business challenges.

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