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Robotics Prcocess Automation, LLC

Machine Learning

Robotics Prcocess Automation, LLC, Bentonville, Arkansas, United States, 72712


W-2 Open Positions Need to be Filled Immediately.

Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters.Job OverviewJob ID:

J38700Specialized Area:

Machine learningJob Title:

ML EngineerLocation:

Bentonville, ARDuration:

9 MonthsDomain Exposure:

Healthcare, Banking & Finance, IT/SoftwareWork Authorization:

To Be Discussed LaterEmployment Type:

W-2 (Consultant must be on our company payroll. C2C is not allowed)Responsibilities:Client is looking for an ML engineer.Languages: SQL, Python, PySpark.Cloud computing: experience with Google Cloud Platform preferred, especially with Vertex AI.4+ years of experience developing machine learning models and possessing data science skills with problem-solving, research, and framing into ML problems.4+ years of experience deploying machine learning models into production environments and familiar with MLOps practices; must be able to write clean, production-level code.5+ years of experience building Python libraries and APIs (written in Python).3+ years of experience with machine learning solutions within the merchandising domain (assortment, item selection, pricing, etc.) is mandatory.Resource can be hybrid but must be ready to work during CST time zone and be prepared to travel occasionally.This is a hands-on position and will involve working with a team of customer data scientists & ML engineers.The candidate should be able to explain their work and review models/code.ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer including female, minority, disability, and veterans (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination, and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status, or any other protected status.

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