Hybrid ML Engineer — Build & Deploy Scalable Models

Aviva; Markham; Hybrid; CAD 70,000 - 90,000; Full time

Job summary

A leading insurance firm is seeking an Intermediate Machine Learning Engineer to support the development and operationalization of machine learning models. The ideal candidate will have a Bachelor’s degree and hands-on experience with Python and cloud services like AWS. This position offers hybrid work flexibility and a compelling rewards package including a competitive vacation plan and professional development opportunities.

Benefits

Compelling rewards package

Hybrid flexible work model

Outstanding career development opportunities

Corporate wellness programs

Qualifications

• 2-4 years of experience in machine learning engineering or related roles.
• Strong SQL skills, including an understanding of query optimization techniques.
• Exposure to ML workflow tools (e.g., MLflow, Airflow) is a plus.

Responsibilities

• Assist in designing and implementing ML pipelines in cloud and on-premise environments.
• Collaborate with cross-functional teams for scalable ML solutions.
• Ensure adherence to data privacy, security, and compliance standards.

Skills

Python

Machine Learning Libraries (Pandas, NumPy, scikit-learn, XGBoost)

SQL

Analytical skills

Collaboration

Cloud services (AWS, Snowflake)

Education

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

Tools

AWS

Snowflake

Jenkins

Docker

Apache Spark

Job description

A leading insurance firm is seeking an Intermediate Machine Learning Engineer to support the development and operationalization of machine learning models. The ideal candidate will have a Bachelor’s degree and hands-on experience with Python and cloud services like AWS. This position offers hybrid work flexibility and a compelling rewards package including a competitive vacation plan and professional development opportunities.