In this role you are responsible for designing and implementing automated testing solutions developing machine learning data pipelines to analyze wireless product test data and provide actionable insights. You will collaborate closely with Software/Firmware/Platform development and other cross-functional teams to drive improvement proposals and optimizations based on the ML learnings.
Proficiency in Python and familiarity with various machine learning tools and frameworks
Hands on experience in implementing end-to-end machine learning projects
Experience in scripting automating test work flows tools/framework development.
Excellent Analytical Problem solving and debugging skills
Ability to work collaboratively in a team environment
Bachelor or Masters in Electronics & Communication engineering Computer Science or equivalent
Understanding of Hardware Product Lifecycle/Testing is a Plus.
Experience in applying analytics and statistical methods to transform data into useful insights and actionable results.
Familiarity with database management and SQL queries is an added advantage.
Strong understanding of software testing principles and methodologies.
An analytical methodical and creative problem solver committed to driving quality forward.
Exceptional communication skills for effective collaboration with cross-functional teams.
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