Senior Machine Learning Engineer

EquinixToronto, ON
CA$139,000 - CA$209,000Onsite

About The Position

Independently leads and holds responsibility for multifaceted programs made up of multiple projects and processes; develops and reviews business cases for change and improvement.

Requirements

  • 5+ years of experience in software engineering, AI/ML engineering, or related roles, with demonstrated experience in building and integrating production-grade systems
  • Bachelor’s degree in Computer Science, Machine Learning, Data Science, or a related field

Responsibilities

  • Design and build end-to-end AI systems integrating ML models, LLMs, APIs, and enterprise data
  • Translate business requirements into scalable system architectures and solution designs
  • Develop backend services and API-driven architectures to operationalize intelligent systems
  • Implement data and model pipelines integrating structured and unstructured data sources
  • Work closely with Data Scientists and ML Engineers to integrate model outputs into production systems and decision workflows
  • Apply agent-based workflows and multi-step orchestration to enable complex system behavior
  • Ensure systems are production-ready—scalable, reliable, secure, and performant
  • Continuously improve system performance through testing, monitoring, and iterative refinement
  • Work closely with business, product, Data Science, and engineering teams to co-create solutions and align on outcomes
  • Translate ambiguous problems into structured requirements and actionable system designs
  • Engage stakeholders regularly to refine solutions and drive adoption
  • Collaborate across teams to ensure integration with existing systems and enterprise standards
  • Maintain high-quality documentation and enable knowledge transfer and continuity
  • Take ownership of delivery by managing enhancements, releases, and system evolution
  • Stay current with industry trends and contribute to continuous improvement of team capabilities

Benefits

  • Employee Assistance Program
  • Healthcare coverage that is designed to complement the provincial healthcare system
  • Life insurance
  • Disability insurance
  • Optional benefit plans
  • Defined Contribution Pension Plan (DCPP)
  • Group Retirement Savings Plan (RRSP)
  • Tax-Free Savings Plan (TSFA)
  • Vacation
  • Personal time
  • Various paid holidays
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