Machine Learning Engineer

Industry: Pharma
Remote
Company size: 251-10K
Full-time
Not disclosed

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Job description

An NYSE-listed company that has been bringing game-changing revolution to the pharmaceutical industry for over a century, is looking for a Machine Learning Engineer. The selected candidate will be responsible for writing modern, clean, scalable, and easy-to-maintain ML models and algorithms. The US-based company engages in research and development, manufacture, and distribution of a variety of healthcare products across 250+ countries. This is a rare opportunity for developers to work with an industry giant and rub shoulders with talented professionals. 

  

Job Responsibilities:

  • Work closely with the team to ship projects on time and meet deadlines
  • Boost the load speed and responsiveness of the web applications 
  • Analyze the workflow and formulate plans to achieve company’s goals 
  • Build and deliver scalable solutions for various software processes

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 Machine learning, Deep Learning, and Python
  • Solid understanding of artificial intelligence 
  • Excellent communication and collaboration skills 
  • Fluent in conversational 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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