Machine Learning Researcher

Company: Rose International
Location: Princeton, New Jersey, United States
Type: Full-time
Posted: 08.JUN.2021


** and those authorized to work in the U.S. can be considered as W2 candidates.** Job Title: Machine Learning Researcher Location: Princeton...


** and those authorized to work in the U.S. can be considered as W2 candidates.**
Job Title: Machine Learning Researcher
Location: Princeton, NJ 08540
Duration: 5+ months, potential to go permanent
Schedule: Shift 1; M-F (8:00 AM - 5:00 PM)
•Identifies technological trends by visiting specific technology fairs, contacting suppliers & universities and other sources.
•Researches any kind of relevant information sources to gather technical relevant information about supplier and competitor products in the market.
•Researches respective patents and technical databases.
•Analyses functionalities of semi-products and products, and draws respective conclusion for own product portfolio.
•Derives suggestions for strategic direction for R&D management based on the trends.
•Is expected to integrate processes and results from other workflows and disciplines to develop and accountably propose appropriate and effective solutions for significant parts of solutions.
•Need senior professional expertise, with extensive functional, commercial and/or technical knowledge in an area of competence.
•They integrate analysis, development, testing and implementation.
•They interpret and functionally influence policy and guidelines in their area of business / technology, and develop processes and systems to deliver functional objectives.
•They typically plan own work according to targets agreed, within an quarterly up to an annual cycle, by integrating resources in a project driven environment.
•They provide functional advice and guidance to colleagues and customers.
•A chartered professional qualification or equivalent is typically associated with grades (though not necessary).
•5-8 years deep professional know-how and experience in one Sub Job Family.
•Masters domain.
•Transfers and applies know-how to / in various contexts.
•Solid professional judgment and problem solving competence.
•Improves existing processes and approaches.
•4+ years' experience implementing machine learning algorithms in a production setting (vision and time-series domains).
•Has shipped multiple machine learning products and has experience with the machine learning product lifecycle.
•At least 2 years of experience building applications using TensorFlow/Keras or Pytorch in either production or research settings.
•Expert level competency in Python General Experience with OpenCV, scikit learn, numpy, scipy, pandas in Python Experience in creating API's.
•Experience with Linux development environment.
•Experience with Docker development and deployment Experience with unit testing libraries such as PyTest, MyPy, and GTest.
•Familiarity with interfacing with cameras and design elements of vision systems. - provided by Dice

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