Intermediate Machine Learning Engineer

About the role

Aviva Canada is looking for an Intermediate Machine Learning Engineer to join its AI/ML Operations & Platform team. The role works closely with ML engineers, data scientists and product teams to support the development and operationalization of ML models across the organization.

Key responsibilities

• Assist in designing and implementing ML pipelines and services in cloud and on-premise environments.
• Collaborate with cross-functional teams to gather requirements and contribute to scalable ML solutions.
• Support model deployment, monitoring and performance optimization.
• Apply MLOps practices such as CI/CD, model versioning and retraining workflows.
• Work with Snowflake and AWS services to support ML model deployment.
• Contribute to the development and maintenance of on-premise ML workflows.
• Ensure adherence to data privacy, security and compliance standards.
• Participate in code reviews and knowledge sharing within the team.

Required profile

• Bachelor's degree in Computer Science, Data Science, Engineering or a related field.
• 2-4 years of experience in machine learning engineering or related roles.
• Strong analytical and problem-solving abilities.

Required skills

• Proficiency in Python, with data processing and ML libraries such as Pandas, NumPy, scikit-learn and XGBoost.
• Familiarity with AWS and/or Snowflake, and Linux-based systems.
• Basic experience with Jenkins and containerization tools such as Docker.
• Strong SQL skills, including query optimization.
• Exposure to ML workflow tools (e.g., MLflow, Airflow) and monitoring frameworks is a plus.
• Standout: experience with Apache Spark and Snowpark, and exposure to cloud platforms such as AWS, Snowflake, Azure or GCP.

What we offer

• Salary band of $90,000 to $115,000, depending on knowledge, skills, experience and internal equity.
• Rewards package including annual bonus eligibility, retirement savings, share plan, health benefits, personal wellness and volunteer opportunities.
• Hybrid flexible work model.
• Career development opportunities and support for professional development education.
• Vacation package with the option to buy 5 extra days off per year.
• Employee-driven programs on gender, LGBTQ+, origins, diversity and inclusion, corporate wellness programs, and employee discounts on home and auto insurance where applicable.