Model Development : Develop, implement, and validate predictive models using various machine learning techniques. You'll work closely with our data scientists to create models that can drive innovation in healthcare.
Data Processing : Handle preprocessing and cleaning of data to ensure the quality and reliability of our models. This includes identifying and engineering features from raw data that can be used to improve our machine learning models.
Algorithm Implementation : Implement new algorithms and ML tools, including the latest AI/ML technologies, to enhance the efficiency and effectiveness of our healthcare applications.
Performance Evaluation : Regularly evaluate the performance of ML models, making adjustments and improvements as necessary. You'll employ different metrics for evaluating accuracy, precision, recall, and other relevant statistics.
Collaboration : Work closely with our product managers and software developers to integrate machine learning models into our products and ensure their effective functioning within the broader application context.
Research : Stay updated with the latest trends and advances in machine learning and artificial intelligence. Apply this knowledge to continually innovate and improve our model development processes and systems.