Roles:
Backend
Must-have skills:
PHPLaravelSQLDocker
Nice-to-have skills:
Python
Considering candidates from:
Austria
Austria
Work arrangement: Onsite or remote
Industry: Software Development
Language: English
Level: Middle or senior
Required experience: 2+ years
Relocation: Not paid
Visa support: Not provided
Size: 11 - 50 employees
Company
Wowflow is a modern and efficient solution for teams in technical building and property management. Teams in cleaning companies, retail and real estate management work together more easily with Wowflow, communicate more easily, and report the results of their own work more quickly.
We help companies to make the technical management of their real estate easier, faster, and more efficient. The employees on site get the tasks directly at hand and report the processing via app in real-time. The colleagues in the office have a complete overview of the status and processes. The data and reports are generated automatically and stored directly on your system.
We help companies to make the technical management of their real estate easier, faster, and more efficient. The employees on site get the tasks directly at hand and report the processing via app in real-time. The colleagues in the office have a complete overview of the status and processes. The data and reports are generated automatically and stored directly on your system.
Description
Tasks:
- Help improving our PHP/Laravel backend code and adopt our data structure and capturing
- Setting up the data flows from our Application (react, php, postgre) to the Machine Learning environment with our DevOps team
- Prototyping models using AWS SageMaker and implementing more sophisticated models and libraries in the future
- Ensuring the stability of our data collection and Machine Learning operations environment
- Research and develop frameworks, models and approaches to integrate Machine Learning and Artificial Intelligence in our application
Must-have:
- Good knowledge of PHP/Laravel, Python
- Experience with Docker, SQL and Gitlab
- Basic understanding of ML-Ops
- Fluency in English
Nice-to-have:
- Familiar with AWS and Machine Learning
- German
Benefits and conditions:
- Trial period: 3 months
- Official employment
- 25 paid leaves + 13 public holidays
- Social insurance
Interview process:
- Intro call with Toughbyte
- Technical interview
- Culture fit interview with CEO