Aviva

Senior Machine Learning Engineer

Aviva

full-time

Posted on:

Location Type: Hybrid

Location: Toronto • 🇨🇦 Canada

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Salary

💰 $110,000 - $145,000 per year

Job Level

Senior

Tech Stack

AirflowApacheAWSAzureCloudDockerEC2Google Cloud PlatformJenkinsLinuxPythonScikit-LearnSparkSQL

About the role

  • Design, develop, and deploy robust ML pipelines and services in production environments (cloud and on-prem).
  • Collaborate with cross-functional teams to understand business requirements and translate them into scalable ML solutions.
  • Optimize model performance and ensure reliability, scalability, and maintainability of ML pipelines and systems.
  • Implement MLOps best practices, including CI/CD, model versioning, monitoring, and retraining.
  • Work with Snowflake and AWS services (e.g., S3, EC2, ECR, MWAA) to build and deploy ML models on the cloud.
  • Develop and maintain end-to-end on-premise ML workflows solutions.
  • Ensure data privacy, security, and compliance in all ML solutions.
  • Mentor junior engineers and contribute to technical leadership within the team.

Requirements

  • 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.
  • Strong proficiency in Python and ML libraries (e.g., scikit-learn, pyGAM, XGBoost).
  • Hands-on experience with Snowflake, Snowpark, and Snowpark ML for data engineering and ML workflows.
  • Deep understanding of AWS cloud services and infrastructure for ML deployment.
  • Experience with Linux-based systems, including remote development via SSH.
  • Proficiency in Jenkins for orchestration and automation of ML workflows.
  • Experience with containerization (Docker).
  • Strong proficiency in SQL, with the ability to optimize complex queries using query plans and performance tuning tools.
  • Familiarity with data versioning tools (e.g., DVC, Feast), ML workflow tools (e.g., MLflow, Airflow), and monitoring frameworks.
  • Excellent problem-solving skills and ability to work in a fast-paced environment.
  • Would be an asset: Knowledge of feature stores and model registries.
  • Experience with Apache Spark and Snowpark for scalable data processing.
  • Exposure to other cloud platforms (e.g., Azure, GCP) is a plus.
  • Contributions to open-source ML projects or publications.
Benefits
  • Compelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.
  • Outstanding Career Development opportunities.
  • We’ll support your professional development education.
  • Competitive vacation package with the option to purchase 5 extra days off per year.
  • Employee driven programs focused on gender, LGBTQ+, origins, diversity and inclusion.
  • Corporate wellness programs to support our employees’ physical and mental health.
  • Hybrid flexible work model

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learning engineeringPythonscikit-learnpyGAMXGBoostSQLJenkinsDockerApache SparkMLOps
Soft skills
problem-solvingtechnical leadershipcollaborationmentoringadaptability
Certifications
Bachelor’s degreeMaster’s degree