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Hybrid ML Engineer — Build & Deploy Scalable Models

Aviva

Toronto

Hybrid

CAD 80,000 - 100,000

Full time

Yesterday
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Job summary

A leading insurance provider in Toronto seeks an Intermediate Machine Learning Engineer to join its AI/ML Operations team. Candidates should have 2-4 years of experience in machine learning, proficiency in Python, and familiarity with cloud technologies such as AWS and Snowflake. The role involves building and deploying ML models, adherence to data standards, and participation in cross-functional collaboration. This position offers a hybrid work model and a compelling rewards package.

Benefits

Base compensation and annual bonus
Health benefits and retirement savings
Hybrid flexible work model
Career development opportunities
Competitive vacation package
Employee-driven programs for diversity and inclusion
Corporate wellness programs

Qualifications

  • 2–4 years of experience in machine learning engineering or related roles.
  • Familiarity with AWS and/or Snowflake cloud services.
  • Strong SQL skills, with query optimization understanding.

Responsibilities

  • Assist in designing and implementing ML pipelines in cloud and on-premise environments.
  • Support model deployment, monitoring, and performance optimization.
  • Ensure adherence to data privacy, security, and compliance standards.

Skills

Python
Machine Learning libraries (Pandas, NumPy, scikit-learn, XGBoost)
SQL skills
Analytical and problem-solving abilities

Education

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field

Tools

AWS
Snowflake
Docker
Jenkins
Job description
A leading insurance provider in Toronto seeks an Intermediate Machine Learning Engineer to join its AI/ML Operations team. Candidates should have 2-4 years of experience in machine learning, proficiency in Python, and familiarity with cloud technologies such as AWS and Snowflake. The role involves building and deploying ML models, adherence to data standards, and participation in cross-functional collaboration. This position offers a hybrid work model and a compelling rewards package.
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