Design, train and deliver machine learning solutions to a wide range of datasets: from small datasets to big data, 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 front-end and back-end systems.
Build state-of-the-art models for various modeling tasks (e.g., speech recognition, optical character recognition, text-to-speech, facial recognition, time series forecasting, … etc.)
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.
Familiar with MLOps Tools (e.g., MLFlow, Kubeflow, … etc.).
Familiar with unsupervised, semi-supervised, and self-supervised techniques.
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