Position: Senior Python back-end developer (urgent)
Company: Deventor company
Experience required: 5y
Category: Python
English level: upper
Published: 2023-03-01T00:00:00+02:00

The company was founded by machine learning researchers and business minds from CISPA - Helmholtz Center for Information Security and Saarland University in 2020. Since then, we have developed our world-leading technology from fundamental research to scalable software that is implemented by DAX40 companies. In doing so, we are backed by leading investors and renowned advisors from academia and industry.

Together, we translate years of research and industry experience on machine learning into AI auditing tools to democratize trustworthy AI.

The platform collects artifacts and calculates metrics within the most important auditing dimensions such as data quality, model performance, fairness, explainability, and robustness.

This information is translated into project summaries, technical documentation, as well as risk and audit-readiness reports. Seamless integration with modern ML tools allows technical teams to focus on the development process.

**STEP #1 - Screen AI use cases**
The customizable AI screening framework is used to:

- Establish a centralized view of activities and responsibilities within the lifecycle of your AI solutions
- Gain a deep understanding of the regulatory requirements applicable to your AI use cases
- Identify gaps in the development and testing processes of your AI solutions

**STEP #2- Automate the validation and traceability of AI**
The platform integrates effortlessly with your AI tools and MLOps practices to:

- Capture evidence from your AI development lifecycle for better visibility and auditability
- Generate model documentation and visual insights to collect shareable and transferable knowledge
- Enforce best practices in model testing and validation

**STEP #3 - Scale the AI transformation in a responsible way**
The platform analyzes the collected information about your AI use cases to:

- Mitigate risk and maintain compliance profiles to match internal policies and external regulations
- Recommend appropriate tools and methods to increase the overall performance and reliability of your AI solutions
- Facilitate communication with a range of stakeholders to speed up AI adoption

**Technical requirements:**
- Proven **4+ years of commercial experience** as **Python** Backend Engineer.
- Experience in working with backend frameworks, such as **Django, Flask or FastAPI**
- Experience in developing **REST/GraphQL API’s**
- Solid knowledge of **relational databases (PostgreSQL)** and **NoSQL databases**
- Experience in running code in the **cloud (GCP/AWS) **and containerizing applications using **Docker**
- Good knowledge of **clean coding, test driven development** and **CI/CD principles**
- Good communication skills in English, both spoken and written (B2/upper-intermediate only)
**Bonus (any of):**
    - Experience in software engineering of larger projects, preferably **B2B or SaaS products.**
    - Experience working in the **domain of machine/deep learning or risks management**
    - Experience with **IaC(Terraform)**

**Responsibilities:**
- Develop, document, and test backend software
- Contribute to architecture decisions and perform code reviews
- Create, review and optimize database operations in the applications
- Collaborate with other engineers, product manager, and UI/UX designer across the organization.
- Act as a technical advisor and think creatively of solutions to problems arising in practice