You will be responsible for testing the server-side Personalized Driver Assistance System, which is based on a microservices architecture and operated by machine learning algorithms. You will be required to ensure the quality of the system from an initial data science prototyping perspective.

Key responsibilities:
• Complex exploratory testing of the data science personalized machine learning solution for the automotive industry
• Deep analysis and evaluation of big data models, algorithms, and data processing logic
• Conduct testing activities for middle-sized feature scale
• Gather QA/test metrics and report to the QA Lead
• Co-operate with the Support Team on processing users’ feedback
• Test documentation development
• Test POC and product customizations
• As part of an Agile delivery team, work closely with development, design, and product management to coordinate work efforts
• Obtain and master knowledge in Java/Python, SQL/SQlite, Linux CLI, Hbase, PostgreSQL, Jenkins, and JSON.

Qualifications & Experience:
• Relevant working experience in backend/frontend manual/automation testing
• Understanding of Big data technology trends
• Experience in creating test documentation (test cases, checklists, release notes)
• Excellent math skills
• Analytical mindset
• Quick thinking, high level of diligence and a proactive attitude
• Understanding of Agile development processes
• Upper-intermediate English level or above
• Skilled in technical reading and writing
• Strong sense of responsibility, accuracy and attention to detail
• Computer science degree or relevant experience
• Experience and practical usage of any programming language.

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