Design, train and deliver machine learning solutions to a wide range of datasets: from small datasets to big data, time series to 3D matrices, both unlabeled and labeled
Collaborate with the development team and ML engineers to implement, test and validate new algorithms and integrate the algorithms with the existing frontend and backend systems.
Build state-of-the-art models for various modeling tasks (e.g., time series forecasting, spatiotemporal and traffic/logistic)
Optimize and automate model training and testing, experimentation tracking, development, and production.
Skilled in breaking down problems, documenting problem statements and estimating efforts
Mentor junior engineers, perform code reviews and document design decisions
Create web services/APIs for serving ML/AI model results.
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