ML DevOps for AI healthcare startup (offline)

Your focus
- Work as a bridge between the AI and back-end teams
- Build scalable/robust infrastructure for model training
- Design and code pipelines for systematized, automated model testing and performance/accuracy quantification
- Automate pipelines for deploying and version-controlling models on production
- Carry out ad-hoc and exploratory analyses in collaboration with the AI team and research partners

Why you
- Highly skilled in Linux Administration and Google-based infrastructure
- Experience with Git CI/CD, CircleCI, Travis CI, Bitbucket Pipelines, or similar
- Experience in building and maintaining real-time application monitoring with deep knowledge of troubleshooting hotspots
- Familiarity with scripting in Bash and Python
- Familiarity with TensorFlow, PyTorch, Keras

Why us
Come and join our international and collaborative work environment as we strive towards our vision of improving the lives of people with respiratory conditions. Apply today to help shape the future of healthcare.

Hyfe offers attractive benefits:
- Flexible working hours
- Workstation support
- Employee stock options

About Hyfe Inc.

Hyfe builds acoustic AI diagnostics tools that run on any smartphone as well as on dedicated devices and wearables. Since entering the market in April 2020, Hyfe has been detecting coughs from ambient sound and tracking them over space and time.

Company website:
https://www.hyfe.ai

DOU company page:
https://jobs.dou.ua/companies/hyfe-inc

The job ad is no longer active
Job unpublished on 23 February 2021

Look at the current jobs DevOps Remote→