Job Responsibilities
- Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, or recommendation systems
- Choosing, extending, and innovating ML strategies for various banking problems
- Analyzing and evaluating the ongoing performance of developed models
- Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
- Learning about and understanding our supported businesses in order to drive practical and successful solutions
Required qualifications, capabilities, and skills
- MS with 7+ years, or PhD with 4+ years of hand-on industry experience in Machine Learning.
- Good understanding of the latest advancement of NLP concepts, such as the transformer architecture and knowledge distillation.
- Experience in classical ML techniques including classification, clustering, optimization, cross validation, data wrangling, feature selection, and feature extraction
- Ability to design experiments — establish strong baselines, choose meaningful metrics, and evaluate model performance rigorously
- Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
- Solid written and spoken communication skills
Preferred qualifications, capabilities, and skills
- 5 years of hands-on experience with virtual assistant model development and optimization
- Familiarity with continuous integration models and unit test development
- Experience with A/B experimentation and data/metric-driven product development