Senior AI/ML Engineer
4 days ago• Toronto, Canada
Performs the development and programming of machine learning integrated software algorithms to structure, analyze, and leverage data in a production environment. Leverages detailed understanding of machine learning models and their deployment architecture.
Core Responsibilities
- Develops complex data pipelines and implements data engineering design principles for iterative data pipeline development to drive scale and efficiency. Proficient in model development environments and coding best practices to enable model deployment.
- Integrates and optimizes existing data and model pipelines in a production environment. Identifies and diagnoses data inconsistencies and errors, documents assumptions, and forages to fill data gaps. Applies knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning concepts to create self-running artificial intelligence (AI) systems to automate predictive models. Proficient in SDLC processes and related tools and technologies.
- Partners with data science teams to review model ready dataset document/feature documentation. Develops data model design and document and reviews for completeness with data science teams.
- Partners with data science teams to understand data requirements, performs data discovery for model development. Performs detailed analysis of raw data sources for data quality, applies business context, and model development needs. Drives efficiency through the use of data discovery tools.
- Engages with internal stakeholders to understand and probe business processes and develop hypotheses. Brings structure to requests and translates requirements into an analytic approach. Participates in and influences ongoing business planning and departmental prioritization activities.
- Writes model monitoring scripts as needed. Diagnoses root causes based on model monitoring alerts and triages issues. Coordinates and plans response to model monitoring alerts and resolves issues.
- Serves as a machine learning engineering subject matter expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.
- Participates in special projects and performs other duties as assigned.
Qualifications
- Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
- Minimum of eight years related work experience.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
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Client-provided location(s): Toronto, Canada
Job ID: Vanguard-169664
Employment Type: FULL_TIME
Posted: 2025-08-08T17:16:39
Perks and Benefits
Health and Wellness
- FSA
- HSA
- Health Reimbursement Account
- Fitness Subsidies
- On-Site Gym
- HSA With Employer Contribution
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- Mental Health Benefits
- Virtual Fitness Classes
- Pet Insurance
Parental Benefits
- Non-Birth Parent or Paternity Leave
- Birth Parent or Maternity Leave
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
- Adoption Leave
Work Flexibility
- Flexible Work Hours
- Hybrid Work Opportunities
Office Life and Perks
- Company Outings
- Commuter Benefits Program
- Casual Dress
- Happy Hours
- Snacks
- Some Meals Provided
- On-Site Cafeteria
Vacation and Time Off
- Personal/Sick Days
- Paid Holidays
- Paid Vacation
- Volunteer Time Off
- Leave of Absence
Financial and Retirement
- Relocation Assistance
- Performance Bonus
- 401(K) With Company Matching
- 401(K)
- Financial Counseling
- Profit Sharing
Professional Development
- Promote From Within
- Mentor Program
- Shadowing Opportunities
- Access to Online Courses
- Tuition Reimbursement
- Internship Program
- Lunch and Learns
- Leadership Training Program
Diversity and Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)
Company Videos
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