Lead ML Architect: Scalable Models & Inference

Index Exchange; Toronto; Hybrid; CAD 120,000 - 150,000; Full time

Benefits offered by this job

Comprehensive health, dental, and vision plans

Paid time off

Flexible work schedules

Competitive retirement matching plans

Generous parental leave

Annual well-being allowance

Employee assistance program

Job summary

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 PhD 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.

Qualifications

• Masters or PhD in a STEM field or equivalent experience in a Data Scientist or closely related role.
• Industry experience applying ML at scale.
• Extensive knowledge of production infrastructure and pipelines for ML models (MLOps).
• Experience with frameworks for Classification, Regression, Pattern Recognition, Recommendation Systems.
• Strong business acumen with the ability to work cross-functionally.

Responsibilities

• Design, develop, and implement complex data-centric solutions.
• Ensure continuous high-quality input for ML model development.
• Manage and monitor deployed models.
• Develop effective strategies on deployment and hosting of ML models.

Skills

Machine Learning

Python

Data Science

MLOps

Statistical Analysis

Education

Masters or PhD in a STEM field

Tools

Machine Learning frameworks

Job description

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 PhD 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.