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ML Ops Engineer

Industry: Manufacturing
Remote
Company size: 10K+
Full-time

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Job description

A NASDAQ-listed company on a mission to reduce the carbon footprint in the world with their environmentally conscious transport solutions is looking for an ML Ops Engineer. The engineer will be working with a multidisciplinary team to solve customers' problems in quick iterations. The company is manufacturing state-of-the-art electric vehicles that is revolutionizing the automation industry. The company has managed to securely raise more than $10.5bn in funding so far. 

 

Job Responsibilities:

  • Architect, develop, and maintain web applications 
  • Collaborate with the team to develop enterprise software systems
  • Review product requirements on new and existing features
  • Work on PLM (Product Lifecycle Management) and engineering apps projects

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as a software engineer, preferably ML Ops Engineer
  • Extensive experience using AWS Sagemaker
  • Demonstrable experience working on product lifecycle management
  • Fluent in verbal and written English

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Leadership

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.

Equal Opportunity Policy

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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