Senior Applied ML Scientist – GenAI & Production (Toronto)

TD; Canada; On-site; CAD 114,000 - 154,000; Full time

Job summary

A leading financial institution in Canada seeks an Applied Machine Learning Scientist to develop AI solutions that impact decision-making in the Personal Banking division. The ideal candidate will possess strong Python skills, a background in machine learning, and the ability to communicate complex results effectively. The role involves collaboration across teams to enhance AI capabilities and deliver measurable business impact. Candidates with 5+ years of relevant experience will thrive in this challenging and rewarding environment.

Benefits

Competitive salary

Health and well-being benefits

Career development programs

Qualifications

• 5+ years of relevant experience preferred.
• Experience working in financial services or regulated environments is a plus.
• Familiarity with causal inference, anomaly detection, or agents is desirable.

Responsibilities

• Develop, deploy, and maintain Predictive and Generative AI models.
• Translate business problems into analytical frameworks.
• Conduct rigorous model evaluation and document results.

Skills

Excellent written and verbal communication

Proficiency in Python and key ML libraries

Creative problem-solving skills

Comfortable with diverse business partners

Education

Undergraduate degree in Science, Technology, Engineering, Math, or related discipline

Graduate degree is considered an asset

Tools

SQL

Azure Cloud

Azure ML Services

Job description

A leading financial institution in Canada seeks an Applied Machine Learning Scientist to develop AI solutions that impact decision-making in the Personal Banking division. The ideal candidate will possess strong Python skills, a background in machine learning, and the ability to communicate complex results effectively. The role involves collaboration across teams to enhance AI capabilities and deliver measurable business impact. Candidates with 5+ years of relevant experience will thrive in this challenging and rewarding environment.