Intermediate Machine Learning Engineer

Aviva Canada; Markham; Hybrid; CAD 90,000 - 115,000; Full time

Benefits offered by this job

Annual bonus eligibility

Health benefits

Competitive vacation package

Professional development support

Corporate wellness programs

Job summary

A leading insurance company in Markham is seeking an Intermediate Machine Learning Engineer to design and implement ML pipelines and collaborate with cross-functional teams. The ideal candidate will have a Bachelor's degree and 2-4 years of relevant experience, along with skills in Python, AWS, and SQL. The role includes a hybrid work model and a competitive salary range between $90,000 and $115,000, along with a robust rewards package and career development opportunities.

Qualifications

• 2-4 years of experience in machine learning engineering or related roles.
• Strong analytical and problem-solving abilities.
• Familiarity with cloud services and Linux systems.

Responsibilities

• Design and implement ML pipelines and services.
• Collaborate with teams to gather requirements for ML solutions.
• Support deployment and monitoring of ML models.

Skills

Machine Learning Engineering

Python

Data Processing

SQL

AWS

Docker

Education

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

Tools

AWS services

Docker

Jenkins

Snowflake

Job description

Overview

Experience Aviva - Indvidually 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.

The Opportunity - 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.

What You’ll Do

• 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.

What You’ll Bring

• 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, NumPy, 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.

What Makes You Stand Out

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

What You’ll Get

• 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.

Aviva Canada may use AI (Artificial Intelligence) tools to assist us throughout the recruitment process to screen, assess or select applicants for a position. Aviva Canada has an accommodation process in place to provide accommodations for employees with disabilities. If 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.