From Human Ergonomics to Agent Ergonomics
wesmckinney.com1 pointsby haraball0 comments
Location: Frankfurt, Germany
Remote: Yes, or onsite/hybrid if local
Willing to relocate: No
Technologies: Python, Javascript, Docker, Django, React, GCP, Ansible, Github Actions/CircleCI, Linux, OpenCV, NLP, MLOps, ++
Résumé/CV: Happy to share, just give me a ping
Email: username @ gmail
12+ years experience as a software engineer in small but growing companies, working on medical research, web applications, and data analysis. The last years I've been building pipelines for data scientists and bioinformaticians, with a focus on automation, data quality and reproducability. I'm interested in continuing down this path of working with (data) scientists, but open for suggestions. Send me an email, and let's chat! Location: Frankfurt, Germany
Remote: Yes, or onsite/hybrid if local
Willing to relocate: No
Technologies: Python, Javascript, Docker, Django, React, GCP, Ansible, Github Actions/CircleCI, Linux, OpenCV, NLP, MLOps, ++
Résumé/CV: Happy to share, just give me a ping
Email: username @ gmail
12+ years experience as a software engineer in small but growing companies, working on medical research, web applications, and data analysis. The last years I've been building pipelines for data scientists and bioinformaticians, with a focus on automation, data quality and reproducability. I'm interested in continuing down this path of working with (data) scientists, but open for suggestions. Send me an email, and let's chat! Location: Frankfurt, Germany
Remote: Yes, or onsite/hybrid if local
Willing to relocate: No
Technologies: Python, Javascript, Docker, Django, React, GCP, Ansible, Github Actions/CircleCI, Linux, OpenCV, NLP, MLOps, ++
Résumé/CV: Happy to share, just give me a ping
Email: username @ gmail
12+ years experience as a software engineer in small but growing companies, working on medical research, web applications, and data analysis. The last years I've been building pipelines for data scientists and bioinformaticians, with a focus on automation, data quality and reproducability. I'm interested in continuing down this path of working with (data) scientists, but open for suggestions. Send me an email, and let's chat!
Colleagues, tasks, compensation - if at least two of the three are good, it's fine to stay. If not it's time to look for something new.
The first year is a learning year, the second is a productive year, and the third is a "what else can I get out of this place" year. If nothing changes in the third year, then there's not much more to learn from the company and it's maybe time to move on.