Machine Learning Engineer

Industry: Holding Companies & Conglomerates
Company size: 10K+

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Job description

An NYSE-listed global company that proactively caters to a global pharmaceutical customer base is looking for a Machine Learning Engineer. The engineer will be working collaboratively with the existing team and other departments across the company to resolve or diagnose defects. The century-old US-based company is involved in the research and development, manufacturing, and distribution of various healthcare products. This is a golden opportunity for developers to work with a well-established pharmaceutical giant and build a lucrative career. 


Job Responsibilities:

  • Research problems and develop solutions to fix issues
  • Ensure high productivity, reliability, scalability, and performance of applications
  • Build scalable, efficient, and well-documented stacks
  • Write clean, secure, maintainable, testable, and modular codes 

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
  • Prolific Machine Learning and Deep Learning experience
  • Extensive experience working with Python
  • Solid understanding of Data Science and related technologies
  • Ability to communicate and collaborate on a regular basis with different teams
  • Fluency in English and strong interpersonal 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.

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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