Applied ML Scientist I - AI for Business Banking

TD Bank; Toronto; On-site; CAD 76,000 - 116,000; Full time

Job summary

A leading global financial institution is seeking an Applied Machine Learning Scientist to develop and deploy machine learning solutions that drive data-driven decision-making. You will work closely with various teams to enhance AI capabilities. Ideal candidates will have 2+ years of experience in ML, proficiency in Python, and a background in structured data handling, with an undergraduate degree in a STEM field required. This role offers competitive compensation and opportunities for professional growth.

Qualifications

• 2+ years of experience applying machine learning to real-world business problems.
• Experience with structured and unstructured data, feature engineering, and model interpretability techniques.
• Familiarity with causal inference, anomaly detection, or agents is a plus.

Responsibilities

• Develop, deploy, and maintain Predictive and Generative AI models.
• Translate business problems into analytical frameworks.
• Conduct rigorous model evaluation and documentation.
• Communicate complex technical results to non-technical stakeholders.
• Stay current with ML research and industry trends.

Skills

Machine learning application

Python proficiency

Model deployment and monitoring

Problem-solving skills

Experience with large language models

Education

Undergraduate degree in a STEM field

Advanced technical degree (preferred)

Tools

ML libraries

Job description

A leading global financial institution is seeking an Applied Machine Learning Scientist to develop and deploy machine learning solutions that drive data-driven decision-making. You will work closely with various teams to enhance AI capabilities. Ideal candidates will have 2+ years of experience in ML, proficiency in Python, and a background in structured data handling, with an undergraduate degree in a STEM field required. This role offers competitive compensation and opportunities for professional growth.