Sr. Applied Scientist, International Emerging Stores Payments
Core
Apply LLM techniques and machine learning to improve customer experience across multiple countries.
Role type
Senior Applied Scientist (GenAI/ML)
Builds
ML models and GenAI development strategies for international payments
Domain
Fintech / International Payments
Deliverable
production ML models
Required skills
Machine learning model building, Neural deep learning, Feature engineering, Algorithm selection, Scientific problem formulation
Preferred skills
Large scale distributed systems, Modeling tools (R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy)
Technologies
Java, C++, Python, Hadoop, Spark, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy
Responsibilities
Translate ambiguous opportunities into defined science problem statements, Evaluate and identify the right ML algorithm to solve problems, Identify and build the right features for the Models, Partner with IML team in applying GenAI development strategies, Publish papers to internal and external conferences
Seniority
Senior, hands-on IC
