Job Title: Machine Learning Scientist - NLP

Zenon AI is a global boutique consulting firm and a leading AI partner for Fortune 500 firms. We partner with clients across the globe to identify their highest-value opportunities, address their most critical challenges, and transform their enterprises using advanced analytics and data science.

What will you do? Apply NLP techniques to automate business processes in various domains Conduct applied research in NLP Maintain applied knowledge in existing NLP approaches Own a learning schedule to be/remain a subject matter expert Architect, build, scale, manage, and own ML solution pipelines Convert applied solutions into common utilities or/and products (if applicable) Participate in knowledge sharing sessions to level up other team members Publish results to arXiv and/or scholarly journals Participate in Kaggle competitions and apply knowledge gained to our applications

What are we looking for? Hold a master's degree in Mathematics, Statistics, Computer Science, Industrial Engineering, or related fields Must have experience modeling business problems and turning them into actionable items Built at least one end-to-end NLP solution (input data cleaning, labeling, encoding, decoding, and monitoring) Worked on out-of-memory datasets and conducted large scale analytics Able to comfortably and effectively read, write, and communicate maths and statistics

Good to have experience: Hold a doctoral degree in Mathematics, Statistics, Computer Science, Industrial Engineering, or related fields Trained and deployed models in one of the following cloud platforms: AWS, Azure, GCP. Have done multi-instance/thread/GPU model training using TensorFlow and/or PyTorch. Know the basics of Knowledge graph, BERT, GPT, and all their variants (since 2017) Have exposure to representation learning, semi-supervised learning, active learning, and reinforcement learning.