Lead ML Architect: Scalable Models & Inference in Toronto

Lead ML Architect: Scalable Models & Inference in Toronto

Toronto Full-Time 135000 - 165000 $ / year (est.) On-site
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At a Glance

  • Tasks: Design and develop complex data-centric solutions for machine learning.
  • Company: Index Exchange, a leader in innovative tech solutions.
  • Benefits: Comprehensive health plans, generous parental leave, and a supportive work environment.
  • Other info: Opportunity to work in a dynamic environment with a focus on innovation.
  • Why this job: Join a diverse team and shape the future of machine learning.
  • Qualifications: Master's or PhD in a STEM field with industry ML experience.

The predicted salary is between 135000 - 165000 $ per year.

Index Exchange in Toronto is seeking a Principal Machine Learning Architect to design and develop complex data-centric solutions.

The successful candidate will ensure high-quality inputs for ML models and manage deployed systems.

The position requires a Master's or Ph D in a STEM field, along with industry experience in ML.

Index Exchange offers comprehensive health plans, generous parental leave, and a supportive work environment promoting diversity.

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Lead ML Architect: Scalable Models & Inference in Toronto employer: Index Exchange

At Index Exchange, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our comprehensive benefits package, including health plans, flexible work schedules, and generous parental leave, ensures that our employees feel valued and supported. With a strong emphasis on professional development and a commitment to diversity and inclusion, we empower our team members to grow and thrive in their careers while making a meaningful impact in the digital advertising landscape.

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Contact Details:

Index Exchange Recruitment Team

We think you need these skills to ace Lead ML Architect: Scalable Models & Inference in Toronto

Machine Learning
Data-Centric Solutions
Model Design
System Management
STEM Education
Industry Experience in ML
Quality Assurance for ML Models