Machine Learning

- Having knowledge about various Machine Learning and Deep Learning algorithms: SVM, Logistic Regression, LightGBM/XGBOOST, RNN/LSTM, CNN-based models, Transformer- based model, Knowledge Distillation etc. - Having experience in working with diverse data types: tabular data, text, images - Capable of modeling real-world problems - Programming languages: Python, Java, JavaScript - Having experience in ML/DL frameworks and library: Pytorch, Tensorflow, Scikit-Learn - Having experience with AWS Services (AWS S3, AWS Lambda, SageMaker, etc.), Elastic- Search, Airflow, MongoDB, Docker etc. - Having capability to design and develop standard pipelines/applications - Having experience in working with GPU, TPU