The company is looking to solve complex tasks including natural language processing, speech analytics, and recommendation systems using machine learning methods.
Requirements
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
2 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-promoten product development
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 promote practical and successful solutions
Other
BS with 5+ years, or MS with 3+ years of hand-on industry experience in Machine Learning - Deep Learning
Solid written and spoken communication skills
Ability to work both independently and in highly collaborative team environments
Strong passion for machine learning and invest independent time towards learning, researching, and experimenting with new innovations in the field
