Machine learning Engineer

Job Overview Job ID: J36993 Specialized Area: Machine learning Job Title: Machine learning Engineer Location: San Jose, CA Duration: 8 Months Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)

• Developing scalable data processing pipelines for analytical and predictive platform services
• Collaborate with other data scientists and engineers to find effective solutions to technical challenges
• Provide recommendations, guidance, and options to support Pearson's GLP product development roadmap
• Work closely with engineers to build, test, deploy, and troubleshoot machine learning/algorithm-based software QUALIFICATIONS:
  
  - MSc or higher in computer science, statistics, mathematics, physical science, engineering, or a comparable related technical field
• 5+ years of industry experience in engineering, data science, or related areas
• Demonstrated mastery in communication of technical ideas to non-technical audiences
• Ability to translate customer goals into practical engineering solutions
• Good 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 techniques
• Familiarity with libraries such as Spark ML, Tensorflow, scikit-learn, MLib, DLib, Pandas or others like H2O, Databricks
  
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