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| Job Location | Bangalore |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Manufacturing |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
JOB DESCRIPTION Summary 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 SPECIFICATION Education
Requires a Bachelor of Science (B.S.) or equivalent degree in Computer Science, Electrical Engineering, Mathematics/Statistics or a related field B.S. minimum of 10 years of relevant experience, or M.S. minimum of 8 years of relevant experience, or Ph.D minimum of 5 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, matplotlib In - depth hands - on experience in successfully applying machine learning to real - world problems Strong knowledge of Machine and Deep Learning frameworks: SciKitLearn, Keras, Tensorflow, PyTorch, etc Experience working with Big Data and strong knowledge of big data infrastructure Enthusiastic collaborator and effective communicator Self - driven and able to take ownership of assignments and work independently Strong written and oral communications skills. Team 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 have Proficiency in database technologies Experience 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 :
big data analyticsdesign for manufacturing continuous improvement facilitationbig data eda toolschip design deep learningdata an