Senior Machine Learning Engineer

Industry: Technology
Remote
Company size: 1-10
Full-time/Part-time

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Job description

A U.S.-based company that is pioneering AI solutions by creating an automated cloud-based platform for network management, is looking for a Senior Machine Learning Engineer. The selected engineer will be responsible for analyzing existing processes, evaluating statistics to resolve data set problems, and enhancing the predictive capabilities of the company’s AI software. The company platform empowers consumers and enterprises with a new-age solution that has the potential to make network management more efficient, faster, and more cost-effective. This AI-powered company has successfully raised over $1.2 Million through pre-seed funding.

 

Job Responsibilities:

  • Design ML systems and automate predictive models by running AI software
  • Solve complex problems with multi-layer datasets 
  • Collaborate with internal stakeholders to understand requirements and reach company goals
  • Turn unstructured data into useful information
  • Stay updated with industry trends and breakthroughs

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 4+ years of relevant experience as a Machine Learning Engineer
  • Expertise with computer vision, image processing, and optimization
  • Comprehensive knowledge of predictive models
  • Strong understanding of quality Python coding
  • Great verbal and written English communication skills

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In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

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Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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