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