Machine Learning Engineer

Industry: Holding Companies & Conglomerates
Remote
Company size: 10K+
Full-time/Part-time

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Job description

A well-established pharmaceutical giant that has been changing the pharma landscape for over a century with their world-class products and services, is looking for a Machine Learning Engineer. The engineer will be working collaboratively with other engineers as an integral part of a multidisciplinary team. The company is using foresight, intense research, and modern technology to predict, manufacture, and distribute innovative products that cater to the diverse and growing needs of a global customer base. This will be a long-term position. 

 

Job Responsibilities:


  • Utilize cutting-edge technologies to massively solve real-world issues for your clients
  • As you assist the team in developing best practices, impart your knowledge, and provide innovative solutions
  • Go above and above the call of duty and adopt a scientist's mindset
  • Take the initiative to identify issues and figure out why they're doing things


Job Requirements:


  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • Master's or Ph.D. in Research or prior University experience is preferred
  • At least 5+ years of relevant experience as a Machine Learning Engineer
  • Demonstrable experience working with LLM, Python, and PyTorch
  • In-depth knowledge and experience with Machine Learning technologies
  • Prior experience working with Knowledge Graphs 
  • Some understanding of Azure and AWS is nice to have
  • Solid experience with Healthcare or Biological data is desirable
  • Excellent spoken and written English communication 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.

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