Job Description:
Collaborate with data science researchers to build, implement and maintain frameworks and abstractions
Build tools that will increase the productivity of teams developing ML-based systems
Develop working prototypes, proof of concepts, algorithms, and predictive models
Build demos and conduct training to help data scientists effectively use the product
Demonstrate and apply theories through research efforts to develop new and improved products, processes, or technologies
Collaborate with product management and engineering departments to understand company needs and devise ML powered solutions
Participate in cutting-edge research in artificial intelligence and machine learning application
Requirements:
BS, MS or PhD in a quantitative field (CS, Engineering, Physics, etc.) with demonstrated use of ML techniques
Strong fundamentals in ML algorithms (i.e. neural networks, tree-based methods, unsupervised learning, feature engineering), programming, statistics, and mathematics
Familiar with ML/AI frameworks, e.g,. TensorFlow, PyTorch, and modular/modern software design practices.
Passionate about ML/AI and how it can improve financial inclusion in emerging markets
