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2 days ago
A comprehensive overview of our team reveals a diverse group of medical professionals, signal processing engineers, data scientists, and clinicians.
We aim to make screening for chronic diseases cost-effective at the primary care clinic, thereby improving patient outcomes and accessibility to healthcare services.
Key Responsibilities- To collaborate with product leaders in defining product/platform vision and driving delivery of products and solutions.
- Conduct original research on large proprietary and open-source data sets.
- To identify, research, prototype, and build predictive models that improve patient outcomes.
- Create frameworks for AI/ML code deployment to ensure robustness and reliability of production-ready models.
- To understand industry processes and incorporate them into the solution.
This role requires strong statistical knowledge, analytical skills, problem-solving ability, intuition, and experience applying machine learning models to real-world data.
You will work closely with engineering teams and platform teams to drive vision for AI/ML platforms.
Key Qualifications Include:
- Minimum 2-3 years of experience working in similar fields or domains.
- An advanced degree in Computer Science, Signal Processing, Data science, Biomedical Engineering, or AI/ML.
- At least one core programming expertise, such as Python (Tensorflow, Keras, Pytorch, Signal Processing packages etc.), R, Scala.
- Strong project management skills to execute multiple projects in parallel.
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