- 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
AHEAD delivers on-demand insights by replacing human visual interpretation of cell-level data with AI and machine learning. As the software intelligence layer between machine generated cell-level details and humans, the AHEAD platform offers AI/ML enhanced accuracy, 10X-20X faster results, and 3-6X lower costs. Low cost, on-demand insights, and higher productivity enable AHEAD to relieve bottlenecks and enable global availability.