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Senior Machine Learning Engineer

at Aviva

Back to all Data Science / AI / ML jobs
Aviva logo
Other

Senior Machine Learning Engineer

at Aviva

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 5 days ago

No clicks

Compensation
$110,000 – $145,000 CAD

Currency: $ (CAD)

City
Not specified
Country
Canada

Senior Machine Learning Engineer to design, build, and deploy scalable ML pipelines in cloud and on-prem environments. You will collaborate with data scientists, data engineers, and product teams to operationalize ML models and drive innovation. You will implement MLOps practices (CI/CD, model versioning, monitoring, retraining) and optimize performance, reliability, and security. You will work with Snowflake and AWS services to deploy ML models and develop end-to-end on-premise workflows, while mentoring junior engineers.

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:

  • The salary band for this position ranges from $110,000 to $145,000. 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.

  • 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.

#LI-MH1

#LI-Hybrid

Location: Markham, Toronto

Senior Machine Learning Engineer

at Aviva

Back to all Data Science / AI / ML jobs
Aviva logo
Other

Senior Machine Learning Engineer

at Aviva

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 5 days ago

No clicks

Compensation
$110,000 – $145,000 CAD

Currency: $ (CAD)

City
Not specified
Country
Canada

Senior Machine Learning Engineer to design, build, and deploy scalable ML pipelines in cloud and on-prem environments. You will collaborate with data scientists, data engineers, and product teams to operationalize ML models and drive innovation. You will implement MLOps practices (CI/CD, model versioning, monitoring, retraining) and optimize performance, reliability, and security. You will work with Snowflake and AWS services to deploy ML models and develop end-to-end on-premise workflows, while mentoring junior engineers.

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:

  • The salary band for this position ranges from $110,000 to $145,000. 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.

  • 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.

#LI-MH1

#LI-Hybrid

Location: Markham, Toronto