KA
KalderosDirector of Data Science
Director of Data Science at Kalderos overseeing data functions and mentoring teams while driving product development. Focus on improving healthcare pricing transparency with data analytics.
About the role
- Work with us on some of the challenges in natural language processing (NLP).
- Conduct research in NLP and understand, codify and extract meaning from communication modalities (speech, text).
- Build new or improve existing models using state-of-the-art machine learning techniques.
- Gain insight from trying new machine learning approaches with a team of researchers and transition the research to a proof-of-concept.
Requirements
- Currently enrolled in a PhD program in Computer Science, Data Science, Mathematics, Human Computer Interaction, Natural Language Processing, Computational Linguistics or a related field.
- 1+ year experience with machine learning and natural language processing.
- Strong verbal and writing communication skills.
- Ability to independently execute a research agenda and collaborate effectively with other researchers and engineers.
- Proficiency in Python or R.
- Experience with deep learning platforms, such as PyTorch, Tensor Flow, CNTK, specifically as they relate to the implementation of state-of-the-art deep learning models (including, but not limited to transformer-based models).
- Existing body of relevant research contributions, such as peer-reviewed publications at top-tier conferences and journals related to ML/NLP.
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