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.