Intermediate Machine Learning Engineer

Aviva Canada

Base: $90,000 to $115,000; bonus/equity: eligible ...
Hybrid
Python programming proficiency
Aws cloud services experience
Snowflake data platform skills
Aviva Canada is seeking an Intermediate Machine Learning Engineer to join their AI/ML Operations & Platform team. The ideal candidate should have experience in building and deploying machine learning solutions, and familiarity with cloud technologies such as AWS and Snowflake, while contributing to a supportive and inclusive workplace culture

Job Summary

  • The role involves designing and implementing ML pipelines in both cloud and on-premise environments while collaborating with cross-functional teams.
  • Candidates will support model deployment, monitoring, and performance optimization using MLOps practices like CI/CD and model versioning.
  • Aviva offers a competitive salary range of $90,000 to $115,000 along with a comprehensive rewards package including health benefits and flexible work models.

Matching Summary

Match Score: 85

Aviva Canada is seeking an Intermediate Machine Learning Engineer to join their AI/ML Operations & Platform team. The ideal candidate should have experience in building and deploying machine learning solutions, and familiarity with cloud technologies such as AWS and Snowflake, while contributing to a supportive and inclusive workplace culture.

Salary

Base: $90,000 to $115,000; Bonus/Equity: Eligible for annual bonus and share plan; Benefits: Retirement savings, health benefits, wellness programs, and vacation options

Skills & Requirements

Must-have

  • Python programming proficiency
  • AWS cloud services experience
  • Snowflake data platform skills
  • Docker containerization tools
  • SQL query optimization techniques
  • Jenkins CI/CD implementation

Nice-to-have

  • Apache Spark and Snowpark exposure
  • MLflow and Airflow workflow tools
  • Azure or GCP cloud platforms
  • Model monitoring frameworks knowledge
  • Cross-functional collaboration skills

Key Requirements

  • Bachelor's degree in Computer Science or related field
  • 2–4 years of machine learning engineering experience
  • Strong analytical and problem-solving abilities

Work Rights

Not specified

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