Learning about and understanding our supported businesses in order to drive practical and successful solutions
Choosing, extending and innovating ML strategies for various banking problems
Applying ML techniques, such as: Data/text mining, Document analysis and summarization, Applying various NER algorithms, Document visual QA, Image/text classification, Image processing, OCR, Design, pre-train and finetune LLMs
Documenting and explaining the rationale and design considerations behind the selection of an ML approach
Analyzing and evaluating the ongoing performance of developed model.
Required qualifications, capabilities, and skills
3+ years of experience with Master’s or Bachelor's Degree in an ML-related field
Advance knowledge with text-mining, NLP, bag-of-words, word2vec, RNNs, text clustering, or NER
Ability to work collaboratively within our team and with other teams to achieve common goals
Experience in classical ML techniques including classification, clustering, optimization, cross validation, data wrangling, feature selection, and feature extraction
Expertise in image processing, template matching, feature descriptors, or CNNs