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Machine Learning Engineer

Industry: Artificial Intelligence
Remote
Company size: 1-10
Full-time

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Job description

A fast-growing company that is tapping into the power of AI-based technology to aggregate business listings from brokers and investment banks in the micro PE space is looking for a Machine Learning Engineer. The selected candidate will be responsible for mentoring and guiding the team on the industry’s best engineering practices. The company's advanced technology enables M&A professionals to spend more time analyzing, closing, and growing businesses and less time sourcing transactions. This is a great opportunity for developers to work with industry veterans and build a lucrative career. 

 

Job Responsibilities:

  • Lead multiple projects and deliver cohesive data solutions in collaboration with various teams
  • Take ownership of the entire data services life cycle from ideation to production 
  • Collaborate with other teams to deliver effective data solutions 
  • Define technical requirements and implementation strategy for production data integrity and performance

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
  • Extensive experience in Python and AWS
  • Prolific experience in Natural Language Processing (NLP) and Data Engineering
  • Experience in Machine Learning
  • 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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