Intermediate Machine Learning Engineer

Experience Aviva

Individually we are people, but together we are Aviva. Individually these are just words, but together they are our Values – Care, Commitment, Community, and Confidence.

At Aviva Canada
, we put people first, our employees, our customers, and our communities. We’re proud of a culture built on care, inclusion, and collaboration, where your voice matters and your growth is supported. We’re not just about insurance; we’re about making a real difference by protecting what matters most.

We are looking for a talented and motivated Intermediate Machine Learning Engineer to join our AI/ML Operations & Platform team. The ideal candidate will have hands‑on experience in building and deploying machine learning solutions, with an understanding of cloud technologies and data platforms. You will work closely with ML engineers, data scientists, and product teams to support the development and operationalization of ML models across the organization.

• 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.

• 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.
• Proficiency in Python, along with data processing and ML libraries (e.g., Pandas, Num Py, scikit‑learn, XGBoost).
• Familiarity with AWS and/or Snowflake cloud services, as well as Linux‑based systems.
• Basic experience with Jenkins and containerization tools such as Docker.
• Strong SQL skills, including an understanding of query optimization techniques.
• Exposure to ML workflow tools (e.g., MLflow, Airflow) and monitoring frameworks is a plus.
• Strong analytical and problem‑solving abilities.

• Experience with Apache Spark and Snowpark for scalable data processing.
• Exposure to cloud platforms (e.g., AWS, Snowflake, Azure, GCP).

• The salary band for this position ranges from $90,000 to $115,000. Please note that individual salary is determined by factors such as job‑related knowledge, skills and experience, as well as internal equity.
• Compelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.
• Hybrid flexible work model.
• 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.