We are seeking a highly motivated AI/ML Engineer to join Zywie, a cutting-edge remote cardiac monitoring company. The ideal candidate will design, evaluate, and deploy machine learning models tailored to enhance cardiac healthcare solutions. This role bridges the gap between innovative product concepts and robust, production-ready AI/ML systems.
Key Responsibilities
- Design and develop ML models to translate the product requirements from the concept stage to the production stage with appropriate validation.
- Conduct rigorous evaluation of developed models using the public datasets.
- Work with the software engineering team to deploy the validated machine learning models into production.
- Work with multidisciplinary teams, including clinicians and hardware engineers, to refine models based on real-world requirements and feedback.
Required Skills
- Comprehensive understanding of digital signal processing, particularly physiological signals and statistics
- Strong programming skills in Python, JAVA, MATLAB, C/C++ and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
- Hands-on Experience with cloud platforms for model deployment (AWS, Azure, or Google Cloud).
- Familiarity with deploying machine learning models in production environments
Minimum Qualifications
- PhD or master’s degree in electrical engineering, Computer Science, or a related technical field.
- At least 3 years of experience in machine learning-based product design using large data sets.
This position offers an exciting opportunity to work at the forefront of AI-driven cardiac healthcare solutions.
