Job Overview

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)

1. Developing scalable data processing pipelines for analytical and predictive platform services
2. Collaborate with other data scientists and engineers to find effective solutions to technical challenges
3. Provide recommendations, guidance and options to support Pearson's GLP product development road map
4. Work closely with engineers to build, test, deploy and troubleshoot machine learning/algorithm-based software

QUALIFICATIONS:

1. MSc or higher in computer science, statistics, mathematics, physical science, engineering, or a comparable related technical field
2. 5+ years of industry experience in engineering, data science, or related areas
3. Demonstrated mastery in communication of technical ideas to non-technical audiences
4. Ability to translate customer goals into practical engineering solutions
5. Good understanding of foundational statistics concepts and algorithms: linear/logistic regression, random forest, boosting, NNs, etc.
6. Strong programming skills with fluency in at least one of Python or R, Java, Scala, C/C++
7. Ability to access, manage, transfer, integrate, and analyze complex datasets, especially using SQL or map-reduce techniques
8. Familiarity with libraries such as Spark ML, Tensorflow, scikit-learn, MLib, DLib, Pandas, or others like H2O, Databricks