Machine Learning Engineer working on next - generation agentic AI platform at Salesforce. Collaborate with teams to innovate and design impactful AI systems for customers.
About the role
- Intermediate Machine Learning Engineer tasked with building and deploying machine learning solutions at Aviva Canada. Collaborating with cross-functional teams to operationalize ML models and ensure data compliance.
Responsibilities
- 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.
Requirements
- 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.
Benefits
- 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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
FI
Data Analyst internship focusing on resource price forecasts with AI and machine learning methodologies at Fraunhofer Institute in Nürnberg. Collaborating on data analytics projects and applying modern techniques for predictive modeling.
Graduate Analyst in Data & Machine Learning Operations for Volkswagen Financial Services, focusing on machine learning, data integration, and business intelligence projects.
Senior ML Engineer responsible for designing scalable AI/ML infrastructure at General Motors. Collaborating with teams on advanced AI solutions for intelligent driving technologies.
Scientific AI & ML Engineer designing and deploying innovative AI - driven solutions. Collaborating with teams to solve complex scientific challenges through advanced machine learning techniques.
MLOps Engineer developing, testing, and maintaining machine learning models at Booz Allen. Collaborating with software developers and data scientists to deliver AI - powered solutions.
Senior Software Developer working on ML Infrastructure and Deployment at Verafin. Helping develop cutting - edge fraud detection tools alongside analytics teams using AWS and Terraform.
Machine Learning Engineer developing advanced SLAM systems for autonomous trucking environments at Bot Auto. Collaborating with cross - functional teams to optimize mapping solutions and ensure operational stability.
Graduate Deep Learning Algorithm Developer developing perception technologies for autonomous driving. Tackling challenges in object detection and 3D perception using state - of - the - art deep learning models.
Principal AI/ML Engineer leading the AI/ML infrastructure development for WEX's risk service needs. Focused on innovative engineering and technology solutions within a high - stakes environment.