Our job is to help with a preliminary diagnosis of Dementia, with emphasis on Alzheimers Disease. We focus on helping healthcare experts, pharmaceutical companies and policymakers making informed decisions regarding patients and their cognitive status. We are a tech-based startup that focuses on data science, machine learning, and B2B solutions.
Role
As a Machine Learning Software Engineer, you help design, develop and deploy multiple features for the services offered. Leveraging your expertise to help implement a complex product while ensuring high-quality solutions and performance.
Responsibilities
- Design product solutions according to the needs of the customer (e.g. clinicians, pharma industries, policymakers, etc.)
- Design and implement Machine Learning models for text and audio classification.
- Experiment with new features and representations that will enhance the performance of the deployed solutions
- Automate the experimentation and model deployment processes
- Predict the future, like modeling whether a patient is likely to exhibit cognitive decline.
- Deploy the models and services offered while ensuring the scalability and robustness of the solutions
- Be proficient with MLOps best practices
- Personalize the end users experience
- Design and create insightful dashboards and reports for the end-users.
- Develop business-relevant conclusions from data
- Work with various stakeholders with different backgrounds (researchers, UX professionals, designers, etc)
Benefits
- Bucketfuls of challenging problems to solve, so hopefully that's your thing!
- One of the best learning experiences of your life. You'll get to work with extremely smart and capable people, with interdisciplinary background
- Very competitive salary
- Choosing your own working conditions is one of our strongest beliefs
Data source
Stack Overflow