Quality Assurance Engineer with Machine Learning (Only W2 based candidates Required)
Location: San Jose, CA
Rate: $65 an hour on W2
Machine Learning experience is mandatory.
Responsibilities Create software, tools and services for functional, performance and longevity testing of the Machine Learning Platform across storage, compute, security, provisioning and operational monitoring domains Collaborate with architects, product management and other engineering teams to establish and understand product requirements and translate those requirements into testing strategies Create technical specifications, prototypes and presentations to communicate your ideas. Hands-on testing and enhancing testability of software components for the product. Design, develop, and contribute to automation frameworks used to validate the product Manage code and test frameworks from development through deployment, support and maintenance Identify and address performance, reliability and scalability issues Stay current with the latest development best practices and share your findings with the team
What you need to succeed BS or MS in Computer Science Minimum 5-10 years of relevant experience in industry Strong experience setting up automated test systems using Jenkins or Hudson Hands on experience with Java, Python, and/or C++ to build various full stack testing suite. Current with the new opensource testing frameworks Understanding of ML technologies and some experience with machine learning frameworks TensorFlow, PyTorch will be helpful Strong interpersonal and communication skills.
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QA Engineer with Machine Learning