Machine learning Engineer

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 Overview

Job ID: J36993

Specialized Area: Machine learning

Job Title: Machine learning Engineer

Location: Evanston, IL

Duration: 8 Months

Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)

Responsibilities:

• Own the Machine Learning research and engineering efforts
• Analyze problem domains and determine overall architecture for natural language machine processing solutions
• Determine data type, format and quantity requirements
• Select appropriate regression and/or machine learning models to apply
• Create and deliver working, scalable, production-ready machine learning solutions
• Define Machine Learning architecture best practices and keep up to date with the evolving open-source frameworks
• Contribute significantly to the growth and success of the company
• Conduct feature engineering to improve model performance on key business metrics

Required Skills and Abilities:

• 2+ Years of professional experience building natural language machine learning models
• Strong skills in Python, NLTK, NLP
• Experience in using machine learning frameworks for natural language processing

ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of 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. ROBOTIC PROCESS AUTOMATION LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters.