Position: Automation QA Engineer
Company: Neurons Lab
Experience required: 3y
English level: upper

We are looking for an AQA Engineer to join our project on a part-time basis

About project:
Development of a Virtual Try-On Solution for fashion retailers

**Objective**

- Test the result of each new deployment and prepare a detailed report
- Create and deploy automation testing pipelines
- Implement various types of testing (smoke, unit, integration, data)

**Areas of Responsibilities**

- create test scenarios and automation testing pipeline for ML model
- detect whether the analysis result is satisfactory or not
- assume the reasons for satisfactory or unsatisfactory ML model performance by looking at the initial data and understanding the output
- classify analysis outcomes by type
- obtain a clear understanding of each module's functions, inputs, and expected outputs
- deliver detailed test reports in English

**Skills**

- Experienced in the implementation of various types of testing (smoke, unit, integration, data)
- experienced in setting up automation testing pipelines
- Python
- explanation and presentation
- machine learning
- detailed test report development
- upper-intermediate English and higher
- Backend and API testing
- ML understanding

**Knowledge**

- Understanding of main ML metrics
- Understanding of prime ML system working principles

**Would be a +**

- Previous experience with virtual Try On testing
- Experience with test-driven development
- Previous experience with Google Cloud
- Experience working with images

**We Offer**

- Scientific or engineering challenges
- Work with disruptive deep-tech startups
- Work with rock stars (senior-level engineers, Ph.D.)
- Meaningful social and environmental projects
- Transparent, professional growth plan depending on your impact
- Remote work from any location
- Flexible working hours
- Unpaid unlimited personal time off
- Regular Team Building & company-wide team events

**Terms & conditions**

Capacity: 0.33 FTE (~15 hours per week)
Duration: 5 months; might be other projects