- 6+ years of hands-on industry data science experience, using typical machine learning
and data science tools including pandas, mlflow, scikit-learn, gensim, nltk, and
TensorFlow/PyTorch
● Experience building production-grade machine learning deployments on AWS, Azure, or
GCP including drift monitoring
● Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace,
Langchain, and OpenAI
● Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics,
Operations Research) or equivalent practical experience
● Experience communicating and teaching technical concepts to non-technical and technical audiences alike
● Passion for collaboration, life-long learning, and driving value through ML