Applied AI Engineer in Markham

Applied AI Engineer in Markham

Markham Full-Time 123750 - 151250 $ / year (est.) On-site
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At a Glance

  • Tasks: Design and build secure AI solutions using ML and NLP technologies.
  • Company: Join SE Health, a leader in innovative healthcare solutions.
  • Benefits: Enjoy competitive pay, health benefits, and opportunities for remote work.
  • Other info: Be part of a dynamic team focused on continuous improvement and growth.
  • Why this job: Make a real difference in healthcare with cutting-edge AI technology.
  • Qualifications: Experience in AI development and a passion for responsible tech.

The predicted salary is between 123750 - 151250 $ per year.

SE Health is seeking an Applied AI Software Engineer to design, build, test, deploy, and support secure AI solutions across clinical and operational domains.

You will translate needs into production AI applications using ML, NLP, and agentic workflows, collaborating with product, security and software teams.

The role emphasizes responsible AI, governance, and scalable delivery across cloud environments, with modern agentic development practices and continuous improvement.

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Applied AI Engineer in Markham employer: SE Health

SE Health is an exceptional employer that prioritizes employee well-being and professional growth, offering a competitive total rewards package that includes comprehensive benefits, flexible work options, and tuition support. Our inclusive culture fosters collaboration and innovation, ensuring that every team member's voice is valued as we work together to advance health and strengthen communities across Canada. Join us in a meaningful role where you can make a real impact while enjoying a supportive environment that champions your career ambitions.

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Contact Details:

SE Health Recruitment Team

We think you need these skills to ace Applied AI Engineer in Markham

Machine Learning (ML)
Natural Language Processing (NLP)
AI Application Development
Cloud Environments
Software Development
Collaboration Skills
Responsible AI Practices