Key Responsibilities

• Design, run and evaluate algorithms for the semi-supervised generation of NLU training data from large unlabeled datasets
• Design, run and evaluate algorithms for unsupervised analysis of speech and text data sets
• Assist in the annotation of call transcripts and generate NLU models for customer deployment
• Develop software targeted at production deployment through an MLOps pipeline
• Act as a member of the product development team, including participation in scrum processes
• Work with customers to help design and train NLU models for their use cases

Key Skills

• Master's or Bachelor's degree in computer science or a related field
• 3+ years experience in applied natural language processing work for Chatbot products
• 5+ years of software development experience in python
• Familiarity with NLP/deep learning tools and packages like Tensorflow, Pytorch, Caffe, PyTorch, TensorFlow, Weka, scikit-learn, nltk, Spacy, Keras, etc.
• In-depth knowledge of machine learning algorithms and ability to apply them in data-driven natural language processing systems
• In-depth knowledge of NLP algorithms such as intent recognition, entity extraction, language modeling, text classification, question answering, text summarization, and so on.
• Experience with speech recognition technologies and algorithms
• Strong communications skills, both written and verbal
• Familiarity with cloud platforms (AWS, Google Cloud Platform)
• Optional experience with AI services from IBM, Amazon, or Google (e.g., Google’s Dialogflow and Vertex), and applying them to products