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Renault Group

PFE27 - Android Acceptance Test Stabilization H/F

Renault Group is hiring a PFE27 - Android Acceptance Test Stabilization H/F. Level rates it ; you can apply on Renault Group.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Renault Group has 389 other open roles on Level.
  • Posted in the last few days.

AI in this role

Company

AMPERE SOFTWARE TECHNOLOGY TUNISIA

Job Description

Context :

Improve the reliability of Android acceptance campaigns by automatically classifying failures, rerunning unstable tests and analyzing logs.


Your role :

Identify and classify failed Android acceptance tests (infrastructure issues, known instabilities, and actual regressions).

Automatically rerun unstable tests.

Analyze logs and test reports to locate failure causes.

Recommend corrections subject to human approval.

Store diagnostic knowledge for future campaigns.


Key skills :

Python

Linux

Android

Generative AI

Job Family

Communication

Renault Group is committed to creating an inclusive working environment and the conditions for each of us to bring their passion, perform to the full and grow, whilst being themselves.
We find strength in our diversity and we are engaged to ensure equal employment opportunities regardless of race, colour, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, etc. If you have a disability or special need requiring layout of the workstation or work schedule, please let us know by completing this form.

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How we rate this

PFE27 - Android Acceptance Test Stabilization H/F at Renault Group rates 34 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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