1. Intermediate to Expert Deep learning and machine learning skills 2. Work experience in RNN 3. Strong programming and data structure understanding (Python, C++) 4. Able to read, understand and implement SOTA research papers 5. Prior experience in Pytorch or Tensorflow framework or C or C++ 6. Signal processing experience 7. Experience implementing convnets related to biomedical signal 8. Strong experience in implementing, LSTMs or high end deep learning architecture related to biomedical signal processing 9.Good experience in C++, C, Python libraries/MatLab, etc 10. Strong foundation in DSP (Digital Signal Processing) Science relating to DIP (FFT, filters, etc.) 11. Managing day-to-day experimental planning, data analysis, and prioritization of project-based activities 12. Designing, developing, and executing signal processing and machine learning algorithms 13.Statistical analysis of biosensor and algorithm performance: uniformity, repeatability, and stability 14. Defining specifications, generating documentation, and iterating designs based upon feedback from partners 15.Provide expertise in data wrangling, exploratory data analysis, and feature engineering with large data sets 16. Developing predictive models using supervised and unsupervised machine learning and deep learning 17. uilding robust, efficient, and real-time algorithms for Predictive Analysis and Classification using state-of-art techniques from Signal Processing, Pattern Recognition and Image Processing .

Ph.D, M.E/ M.Tech/ B.E/ B.Tech in Electronics with specialization in signal processing. Proficiency with Matlab, C, and C Experiences with designing and developing algorithms and performing the sophisticated real-time task of complex systems involving signal processing as needed in biomedical signal processing. .