Companies who rely on a workforce to perform operations in the physical world are often blind with respect to what is really happening on the field. The tools they use do not allow to collect complete and accurate feedbacks and it is difficult for those companies to understand the source of errors and inefficiencies in their field processes.
Deepomatic develops a Field Vision Platform and process over 4 To of data per month to allow our clients to automatically make sure that field reports are filled with the accurate informations, thanks to AI. The platform also centralizes all those reports, which can then be mined by our clients to understand how they can improve their quality of service.
The development will include working on the technical specifications, the backend part (API, Kubernetes job, database optimization, asynchronous tasks) and the monitoring (Datadog)
Stack technique : Python, Django, Angular, TypeScript, Postegres, Docker, Kubernetes, Celery, GCP
Within 1 month, you will:
Within 3 months, you will:
Within 6 months, you will:
Within 1 year, you will:
If you already see yourself joining the team, we’ll be happy to discuss with you. Our recruitment process consists of :
1- a first call with our Talent Acquisition Manager
2- a screening call with our VP of Engineering
3- a debug exercice followed by a home assignment
4- onsite interviews (assessing technical & culture fit)
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