Machine Learning Engineer

2 weeks ago

Toronto, Ontario, Canada Nasrin Wellness Inc. Full time

Location: Toronto, ON (In-Person)Type: Full-Time

About the Role

We are a clinician-led healthcare organization building an applied AI system to support an established clinical workflow. The focus is on practical, reliable machine learning that integrates into day-to-day healthcare operations.

The system is designed with privacy in mind: operational data is processed transiently and not retained, and models are updated through controlled retraining rather than continuous learning on live data. Clinicians remain the final decision-makers.

Responsibilities

  • Implement machine learning models based on defined architecture and requirements
  • Develop data pipelines that support transient data processing and secure deletion
  • Train, evaluate, and update models using approved datasets
  • Set up scheduled or versioned retraining workflows
  • Monitor model performance and stability over time
  • Work closely with clinical and product stakeholders to align models with workflow needs
  • Integrate ML components into backend services
  • Maintain clear technical documentation

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related field
  • Minimum 2 years of hands-on experience developing machine learning models
  • Strong proficiency in Python
  • Experience with PyTorch, TensorFlow, or scikit-learn
  • Solid understanding of model evaluation, generalization, and reproducible experimentation
  • Experience working with Git and collaborative development workflows

Nice to Have

  • Experience with privacy-conscious or data-minimizing systems
  • Exposure to healthcare or sensitive data environments
  • Familiarity with SQL, Docker, or basic cloud infrastructure
  • Experience with model interpretability techniques

Team & Collaboration

  • Collaborate closely with the Clinical Lead and software engineering stakeholders
  • Participate in design discussions and implementation planning
  • Contribute to a safety-focused, human-in-the-loop AI development approach

Job Type: Full-time

Pay: $65,000.00-$85,000.00 per year

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