Blockchain Technologies. LLC
Machine learning Engineer
Blockchain Technologies. LLC, San Jose, California, United States, 95199
Job OverviewSpecialized Area: Machine learningJob Title: Machine learning EngineerLocation: San Jose,CADuration: 8 MonthsEmployment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)Developing scalable data processing pipelines for analytical and predictive platform servicesCollaborate with other data scientists and engineers to find effective solutions to technical challengesProvide recommendations, guidance and options to support Pearson's GLP product development road mapWork closely with engineers to build, test, deploy and troubleshoot machine learning/algorithm-based softwareQUALIFICATIONS:
MSc or higher in computer science, statistics, mathematics, physical science, engineering, or a comparable related technical field5+ years of industry experience in engineering, data science, or related areasDemonstrated mastery in communication of technical ideas to non-technical audiencesAbility to translate customer goals into practical engineering solutionsGood understanding of foundational statistics concepts and algorithms: linear/logistic regression, random forest, boosting, NNs, etc.Strong programming skills with fluency in at least one of Python or R, Java, Scala, C/C++Ability to access, manage, transfer, integrate, and analyze complex datasets, especially using SQL or map-reduce techniquesFamiliarity with libraries such as Spark ML, Tensorflow, scikit-learn, MLib, DLib, Pandas, or others like H2O, Databricks
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MSc or higher in computer science, statistics, mathematics, physical science, engineering, or a comparable related technical field5+ years of industry experience in engineering, data science, or related areasDemonstrated mastery in communication of technical ideas to non-technical audiencesAbility to translate customer goals into practical engineering solutionsGood understanding of foundational statistics concepts and algorithms: linear/logistic regression, random forest, boosting, NNs, etc.Strong programming skills with fluency in at least one of Python or R, Java, Scala, C/C++Ability to access, manage, transfer, integrate, and analyze complex datasets, especially using SQL or map-reduce techniquesFamiliarity with libraries such as Spark ML, Tensorflow, scikit-learn, MLib, DLib, Pandas, or others like H2O, Databricks
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