This includes building machine learning models in Python or Java using one or more of the following libraries -
- PyTorch
- Scikit
- Gensim
- NLTK
- DeepLearning4J
- Deep Java Library(by Amazon)
- Tensorflow Extended
- Export models into ONNX so that they can be used for inference irrespective of platforms.
I've successfully implemented many models in production according to the use cases by taking care of various aspects like model size, inference time, performance etc.