About the Company :
The company owns and operates the platform, Curus Health, a Digital Assistant to Doctors. We look to address the redundancies in the Healthcare sector making it efficient and centralized in the future for all the stakeholder benefits.
Doing one step at a time, we have started with building the Digital Assistant for Doctors, one of the most critical stakeholders of our Healthcare ecosystem.
About the Role :
Curus Health is building an assistive AI solution to bring about a phenomenal change in the quality of healthcare. You will be working very closely with the founders in developing the product.
Your work here will have a significant impact on the product and you will learn a tremendous amount about building a startup.
Major responsibilities :
Use machine learning, natural language processing, data mining and statistical techniques on terabytes of clinical textual data.
Design and develop cutting edge clinical NLP and ML models.
Deploy models in real-world healthcare settings where our core products are being used.
Skills and Qualifications :
Preferably 2+ years of hands-on experience in handling diverse data sets with strong analytics concepts and ML libraries.
Proficient in python, java and using libraries nltk, sklearn numpy, scipy, pandas
Deep conceptual understanding of probability, statistics, ML algorithm intuition, and computer science fundamentals.
Deep experience in statistical and machine learning techniques such as classification, regression, feature selection and feature engineering, hyperparameter tuning, unsupervised learning methods, etc.
NLP concepts such as information extraction, a bag of words, word compensation commensurate to skills and market standards.
The Engineer will be eligible for the ESOP program of the company