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ML Engineer

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

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Job description

An NYSE-listed company that has established itself as the market leader in the technology industry with its world-class solutions is looking for an ML Engineer. The engineer will be in charge of improving the scalability, service reliability, capacity, and performance. The company is helping individuals and businesses to reach new heights by providing them with next-gen tech hardware and software solutions. This is an exciting opportunity for developers who are eager to work with a multinational company and build a lucrative career. 

 

Job Responsibilities:

  • Review functional and technical specifications and participate in brainstorming sessions
  • Work actively in helping the broader development team establish best practices according to modern methodologies
  • Collaborate with cross-functional teams to deliver high-quality products
  • Identify gaps in test coverage and processes, and propose plans to close the gaps

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 5+ years of relevant experience as a Machine Learning Engineer
  • Demonstrable experience working with Python, Docker, and Kubernetes
  • Exceptional time management and troubleshooting skills
  • Fluent in spoken and written English communication

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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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