AI / Machine Learning Engineer
: Job Details :


AI / Machine Learning Engineer

Ethereum Technologies LLC

Job Location : all cities,CA, USA

Posted on : 2024-09-26T13:02:52Z

Job Description :

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: J37721

Specialized Area: Machine learning

Job Title: AI / Machine Learning Engineer

Location: To Be Discussed Later

Duration: 8 Months

Domain Exposure: Government, Education, IT/Software

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

Responsibilities

Kforce has a client in San Francisco, California (CA) that is seeking an AI/Machine Learning Engineer to aid in the development of a new product.

Requirements
  • Minimum 5 years of development experience using Python
  • Minimum 3+ years of experience in implementing/extending Machine Learning (Deep Learning) and AI algorithms
  • Experience in Artificial Intelligence, Natural Language Processing, APIs, Machine Learning
  • Exposure to Natural Language Processing frameworks, Chatbots, Virtual Assistants
  • Building quicker Software prototypes
  • Previous experience supporting NLP and voice technologies
  • Start your career off on the right foot with one of 'America's Top 500 Companies', as awarded by Forbes. Our client is known as a place where people feel included, valued, supported and respected. Innovative thinking and industry-leading technology allow their associates to thrive and grow in their careers. With a priority placed on their culture and company principles, their commitment to diversity, ethics and the communities in which they operate is their driving force.

    Equal Opportunity Employer

    ETHEREUM TECHNOLOGIES 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.

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