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| Job Location | Bangalore |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Manufacturing |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
* Member of Technical Staff Design For Manufacturing JOB DESCRIPTIONSummary Of Role The candidate for this position will report into the Global Design For Manufacturing Team and support development of machine learning and big data analytic flows for DFM applications Essential Responsibilities Work with global DFM development and IT teams to support development and production deployment of novel on-premise and cloud based data analytic, and supervised and unsupervised machine learning flows for yield ramp support and other applications, leveraging massive amounts of structured data, * POSITION SPECIFICATIONEducation Requires a Bachelor of Science (B.S.) or equivalent degree in Computer Science, Electrical Engineering, Mathematics/Statistics or a related fieldB.S. + minimum of 7 years of relevant experience, orM.S. + minimum of 5 years of relevant experience, orPh.D + minimum of 3 years of relevant experience Required Qualifications Fluent in coding in programming languages (one or more of Python, R, Java, Scala, etc.) and familiarity with analytic packages like scipy, numpy, pandas, matplotlibIn-depth hands-on experience in successfully applying machine learning to real-world problemsStrong knowledge of Machine and Deep Learning frameworks: SciKitLearn, Keras, Tensorflow, PyTorch, etcExperience working with Big Data and strong knowledge of big data infrastructureEnthusiastic collaborator and effective communicatorSelf-driven and able to take ownership of assignments and work independentlyStrong written and oral communications skillsTeam player; able to succeed in a dynamic, fast paced environment. Preferred Qualifications Familiarity and experience with semiconductor processing, chip design, and EDA tools is not required, but would be advantageous to haveProficiency in database technologiesExperience with cloud technologies preferably AWS.Experience with JavaScript, React. js, Angular. js or NodeJS Experience with a multitude of machine learning methods such as SVMs, logistic regression, boosting, decision trees, clustering, HMMs etc
Keyskills :
decision treesdata analyticsdeep learningmachine learningeda toolscontinuous improvement facilitationlogistic regressiondesign for manufacturingchip designbig datacomputer science