Lead advanced machine learning model development and optimization at PayPal. Collaborate with teams to deploy scalable ML solutions in production environments.
About the role
- Applied Machine Learning Scientist working at TD to ensure fairness and transparency in AI/ML model applications. Role involves compliance oversight and team collaboration within a regulatory framework.
Responsibilities
- Review models across TD and build working relationships with business units
- Support compliance risk management associated with models
- Identify and communicate compliance model risks to stakeholders
- Represent Compliance in projects and initiatives
- Evaluate model development procedures and practices
- Conduct research on modeling risks
- Assist with regulatory inquiries and investigations
- Develop training materials and guidelines for businesses
Requirements
- Advanced technical degree (preferably in computer science, math, statistics, engineering, human-computer interaction or related quantitative field)
- 8+ years of relevant experience with the model development lifecycle
- Expertise in AI and machine learning, evaluation, statistics, and data visualization
- Knowledge of model explainability and bias/fairness assessments
- Excellent communication skills
- Ability to influence people and resolve conflicting points of view
- Quick learner who works on improving skills
Benefits
- Total Rewards package includes base salary, variable compensation, and health benefits
- Paid time off
- Retirement programs
- Career development and training programs
- Banking benefits and discounts
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