Bachelor degree in Computer Science or related field 5+ years of industry experience as Engineering Manager or Automation Manager or Software Quality Manager. 10+ years of industry experience building or testing driver products 5+ years’ experience in core programming languages such as Python /C/ C++/ Java/ Selenium, should have a thorough understanding of popular test automation architectures and the best industry practices. Proficient in using one of the Machine Learning Frameworks like Keras with Tensorflow/Caffe. Knowledge of OpenCV for Image Processing. Hands on experience writing advanced object oriented code including creating automation frameworks and test scripts for large scale testing scenarios. Have hands-on QA engineer experience testing driver or cloud products Deep understanding of QA methodologies including triaging, debugging, automating and testing Experience deploying automated testing for performance, UI, features, stability and other product oriented needs Technical authority in at least two of these areas: driver, cloud, networking, virtualization Excellent verbal and written communication skills to different audiences including direct reports, peer managers/architects, multi-functional leaders and executives Require people and project management experience working with cross site teams. Knowledge of working in Agile Software development Environment in a Plus. Familiar with full product life cycle and agile development methodologies. Obsessed with quality improvement, constantly seeking execution efficiency improvement Able to work in an ambiguous and highly interdependent work environment to get things done in an efficient and considerate way Experience creating and bringing to qualitative metrics and measurements We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
SD (ML and AI) job description:Advanced degree in computer science, math, statistics or a related discipline ( Must have master degree )Extensive data modeling and data architecture skillsProgramming experience in Python, RBackground in machine learning frameworks such as TensorFlow or KerasKnowledge of Hadoop or another distributed computing systemsExperience working in an Agile environmentAdvanced math skills (Linear algebraDiscrete mathDifferential equations (ODEs and numerical)Theory of statistics 1Numerical analysis 1 (numerical linear algebra) and 2 (quadrature)Abstract algebraNumber theoryReal analysisComplex analysisIntermediate analysis (point set topology)) ( important )Strong written and verbal communicationsHands on experience on NLP and NLGExperience in advanced statistical techniques and concepts. ( GLM/regression, Random forest, boosting, trees, text mining ) and experience with application.