Senior Machine Learning Engineer

Aviva; Markham; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

A leading insurance company in York Region is seeking a Senior Machine Learning Engineer to design and deploy scalable ML solutions. The candidate will work with cloud services, mentor junior engineers, and ensure compliance with data privacy standards. Strong experience with Python, AWS, and Snowflake is essential. The role offers a competitive rewards package and career development opportunities in a hybrid work environment.

Benefits

Base compensation

Annual bonus eligibility

Competitive vacation package

Health benefits

Corporate wellness programs

Qualifications

• 5+ years of experience in machine learning engineering or related roles.
• Deep understanding of AWS cloud services and infrastructure for ML deployment.
• Experience with containerization (Docker) and orchestration (Jenkins).

Responsibilities

• Design, develop, and deploy robust ML pipelines and services.
• Collaborate with teams to understand business requirements.
• Optimize model performance and ensure reliability of ML systems.

Skills

Python

Machine Learning libraries (scikit-learn, pyGAM, XGBoost)

SQL

AWS services

Jenkins

Docker

Linux

Data versioning tools (DVC, Feast)

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field

Tools

Snowflake

MLflow

Airflow

Apache Spark

Job description

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 and 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 and 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.