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Senior ML Engineer — ML Ops & Cloud/Prem Pipelines

Aviva

Toronto

Hybrid

CAD 110,000 - 145,000

Full time

3 days ago
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Job summary

A leading insurance firm is seeking a Senior Machine Learning Engineer with expertise in designing and deploying scalable ML solutions. This role requires proficiency in Python, AWS, Snowflake, and Linux systems, with responsibilities including optimizing ML pipelines and collaborating with cross-functional teams. The salary range for this position is $110,000 to $145,000, alongside a strong benefits package and a hybrid work model to foster work-life balance.

Benefits

Competitive remuneration package
Professional development support
Flexible hybrid working model
Health benefits
Generous vacation package

Qualifications

  • Bachelor’s or Master’s degree in relevant field required.
  • 5+ years of experience required in machine learning engineering or related roles.
  • Strong proficiency in Python and ML libraries required.

Responsibilities

  • Design robust ML pipelines and services in production environments.
  • Collaborate with teams to translate business requirements into ML solutions.
  • Optimize model performance for reliability and scalability.
  • Implement MLOps practices including CI/CD and model monitoring.

Skills

Python
Machine Learning libraries (scikit-learn, pyGAM, XGBoost)
SQL
Jenkins
Docker
AWS cloud services
Snowflake
Linux-based systems
Data versioning tools (DVC, Feast)
ML workflow tools (MLflow, Airflow)

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field
5+ years of experience in machine learning engineering or related roles

Tools

Snowflake
AWS
Linux
Jenkins
Docker
Job description
A leading insurance firm is seeking a Senior Machine Learning Engineer with expertise in designing and deploying scalable ML solutions. This role requires proficiency in Python, AWS, Snowflake, and Linux systems, with responsibilities including optimizing ML pipelines and collaborating with cross-functional teams. The salary range for this position is $110,000 to $145,000, alongside a strong benefits package and a hybrid work model to foster work-life balance.
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