Description
If you are passionate about signal processing and neuroscience and want to change the neuro-psychiatric world for the better, come and join us!
Qualifications
Electrical/ Biomedical/ Software Engineering
Mathematics
If you are passionate about signal processing and neuroscience and want to change the neuro-psychiatric world for the better, come and join us!
Electrical/ Biomedical/ Software Engineering
Mathematics
Elminda, a leading company in brain health technologies, is looking for a passionate Automation Engineer to join the Data-Science team.
As part of your job, you will design and implement automation tools to help improve CI/CD and monitor scalable complex systems. In addition, you will assist in creating testing tools to ensure the validity and reproducibility of our medically-sensitive data.
The electroencephalography (EEG) domain is challenging, and we need motivated people to help us impact the world of quantitative cognition in the medical field.
Join us if you want to be at the forefront of a medical revolution, work with fantastic people, and solve real-world problems!
• Proven experience in automation – Advantage
• Hands-on experience with git, Jenkins, and CI/CD processes
• Familiar with Cloud Development and Deployment (AWS EC2, S3, Lambda, ECS, etc.)
• Background in Python and/or NodeJS
• Experience working with databases (MongoDB – Advantage)
• Team player
• Curious and autodidact
We are building a next-generation device to passively analyze urine and empower users with this information for early health detection. We’re a small team of highly qualified data scientists & engineers completing a promising round of investment and want help launching our initial round of devices. In this role, you would have the opportunity to implement a backend cloud infrastructure to support our proprietary algorithms in production.
Qualifications
*Experience in Cloud Platforms
*Proficient in Python
Pluses
*Experience with MongoDB
*Experience with restful APIs
*Experience with Docker/Kubernetes
*Knowledge of Data Analysis/Statistics/Machine Learning
Elminda, a leading company in brain health technologies, is looking for a passionate Machine Learning Engineer to join the Data-Science team.
As part of your job, you will design and implement scalable data processing pipelines, facilitate rapid research-to-production ML deployments, and create in-house tools to be used by researchers and clinicians.
The electroencephalography (EEG) domain is challenging, and we need motivated people to help us make an impact on the world of quantitative cognition in the medical field.
If you want to be at the forefront of a medical revolution, work with fantastic people and solve real-world problems, come join us!
Requirements:
• Proven experience in scalable data pipelining implementation
• Outstanding graduate in Computer Science or equivalent knowledge
• At least 2 Years of experience working in the industry
• Hands-on experience with Machine Learning systems
• Familiar with Cloud Development and Deployment (AWS EC2, S3, Lambda, ECS, etc.)
• Experience in Python, MATLAB and/or NodeJS
• Experience working with databases (MongoDB – Advantage)
• Background in C++ and Linux Development – Advantage
• Experience in Signal Processing (especially biological signals) – Advantage
• Experience with Deep Learning systems – Advantage
• Team player
• Curious and autodidact
We are building a next-generation device to passively analyze urine and empower users with this information for early health detection. We’re a small team of highly qualified data scientists, engineers, and Ph.D.’s completing a promising round of investment and want help launching our initial round of devices. In this learning role, you would have the opportunity to build out our front end and see your work deployed to production!
Qualifications
*Experience in iOS & Android
Pluses
*Knowledge UX/UI
*Proficient in Python
*QA Experience
Elminda, a leading company in brain health technologies, is looking for a passionate QA Automation Engineer to join the Data-Science team.
As part of your job, you will design and implement QA pipelines for our engine core code, facilitate rapid research-to-production deployments and create in-house tools to be used by researchers and clinicians.
The electroencephalography (EEG) domain is challenging, and we need motivated people to help us make an impact on the world of quantitative cognition in the medical field.
If you want to be at the forefront of a medical revolution, work with fantastic people and solve real-world problems, come join us!
Requirements:
• Proven experience in developing QA automation
• Advantage: Familiar with Cloud Development and Deployment (AWS EC2, S3, Lambda, ECS, etc.)
• Experience in Python, MATLAB, and/or NodeJS (advantage)
• Experience working with databases (MongoDB – Advantage)
• Team player
• Curious and autodidact