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Machine Learning Engineer
Area of Expertise: Computer Vision, Image Classification, Medical Imaging, 3D Image Classification, Image Segmentation, Object Tracking and Detection, Facial and Emotion Detection, Audio Classification, Natural Language Processing, Name Entity Recognition, Entity Extraction, Conversational AI, Chatbots, Text Summarization, Sentiment Analysis, Text Classification, Topic Modeling, Natural Language Generation, Transfer Learning
Skills:
Machine Learning/Deep Learning libraries: scikit-learn, TensorFlow, NumPy, Pandas, Matplotlib, Seaborn, jupyter Notebook, Anaconda, Keras, PyTorch, Flask, Django, Pyspark, OpenCV, nibabel, dicom, librosa
Deep Learning Algorithms: Simple NN, CNN, RNN, LSTM, Transformers, BERT, GPT-3
NLP: NLTK, spaCy, Gensim, word2vec, GLoVe, doc2vec, HuggingFace Transformers, RASA
Programming languages: JavaScript, Python
Cloud Computing and Containers: Docker, Google Cloud, AWS
Database Technologies (relational and non-relational): Microsoft SQL Server, PostgreSQL, MongoDB (NoSQL)