Job Overview
Job ID: J36993
Specialized Area: Machine learning
Job Title: Machine learning Engineer
Location: San Jose, CA
Duration: 8 Months
Domain Exposure: Work Authorization: Client: To Be Discussed Later
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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