- Hands on data processing, statistical analysis, algorithm development, and deployment in research and production

- Testing and maintaining models through A/B testing, retraining, supervising model performance

- Working with cross-functional medical, business, and technical teams to optimize data inputs according to model needs and outcomes

- 2+ years of experience developing and optimizing machine learning pipeline

- Strong programming skills in Python and command line usage

- Hands on experience in processing data and identifying patterns

- In depth knowledge of machine learning algorithms, such as SVM, decision tree, k-means

- Familiar with at least 1 deep learning framework, such as Pytorch, Keras, Tensorflow

- Knowledge of various machine learning techniques and key parameters that affect their performance

- Maintain pipeline

- Strong data visualization techniques

- Excellent writing and verbal communication skills

- Knowledge of applied ML in the medical domain

- Experience with programming data engineering languages like SQL

We will conduct screening test and remote interview

The final interview will be in person with C level executives