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.

We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our AI/ML Platform team. The ideal candidate will have a strong background in designing, building, and deploying scalable machine learning solutions in both cloud and on-premise environments. Hands-on experience with Snowflake, AWS, and Linux-based systems is essential. You will collaborate closely with data scientists, data engineers, and product teams to operationalize ML models and drive innovation across the organization.

What You'll Do

• 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.

What You'll Bring

• 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.

What You’ll Get

• 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

Please note that we may use AI tools to help us through the recruitment process. This is a new position which has been posted both internally & externally.

Aviva Canada has an accommodation process in place to provide accommodations for employees with disabilities. If upon commencement of employment you require a specific accommodation because of a disability, please contact your Talent Acquisition Partner so that an appropriate accommodation can be arranged. This process applies throughout your career with Aviva Canada.