Deskripsi
Familiarity with Machine Learning frameworks like Deep Learning, Tensor Flow, BERT, Regression Models, Decision trees, Clustering models including productization of the ML engine.
Programming in Python, familiar in API development, Jupyter notebook, PyCharm, Docker, Git.ML libraries – Spark MLLib, Python based ML libs, Deep Learning, etc.