Semantic analysis of large semi-structured text corpus
Budget: $50 – $0 CAD
**Experienced ML engineers only**
**Must have excellent English**
We are a small health tech startup looking for a machine learning engineer (MSc or PhD level) to build a semantic analysis pipeline from a large corpus of semi-structured medical text. Tasks will include part of speech tagging, syntactical analysis, named entity recognition, and incorporation of all of these techniques into a model that generates actionable text understanding. Will be directly supervised by engineers with experience in the field.
Skills required:
- Python, TensorFlow, Keras
- MSc or PhD diploma
- Excellent written English
- Deep experience with NLP
Contact us if you are hard working and passionate about solving complex problems to improve healthcare.
**Must have excellent English**
We are a small health tech startup looking for a machine learning engineer (MSc or PhD level) to build a semantic analysis pipeline from a large corpus of semi-structured medical text. Tasks will include part of speech tagging, syntactical analysis, named entity recognition, and incorporation of all of these techniques into a model that generates actionable text understanding. Will be directly supervised by engineers with experience in the field.
Skills required:
- Python, TensorFlow, Keras
- MSc or PhD diploma
- Excellent written English
- Deep experience with NLP
Contact us if you are hard working and passionate about solving complex problems to improve healthcare.