Machine Learning Developer
Summary
Develop and deploy machine learning models for healthcare clients, translating metrics into business outcomes while working remotely with a global team.
This is a remote position.
- build and deploy machine learning models
- validate and test results of your pipelines
- help business to translate ML metrics into real business objectives and vice verse
- present results of complex algorithms in simple and easy to understand manner
- demonstrate "can-do" approach initiating projects that solve real business problems by ML applications
Requirements
- 1-3 years of experience in the field of machine learning
- solid knowledge of classic ML (tabular data) and algorithms (regressions, trees, boosting, etc.)
- good expertise in different areas of ML (recommender systems, text data, clustering, etc.)
- experience with A/B tests and statistical analysis
- strong knowledge of Python (Jupyter notebooks are not enough) so that you can build and deploy pipelines with tools like Argo / Airflow / etc.
- experience with Google Cloud is a plus
- experience with medical data is a plus
- Intermediate+ English is a plus (at least, you should be able to have written conversations with stakeholders)
Benefits
- 2 weeks of paid vacation
- Flexible working hours
- Fully remote position
Originally posted on Himalayas