Senior Machine Learning Engineer

Industry: Technology
Company size: 1-10

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Job description

A fast-growing company that is creating an ML observability platform that enables customers to determine whether their models are operating as planned in production and quickly identify the root of problems that arise, is looking for a Senior Machine Learning Engineer. The engineer will be responsible for implementing machine learning models in real-world settings to ensure their scalability, stability, and dependability. The company's state-of-the-art technology is intended to assist ML engineers and data scientists identify model faults more quickly, addressing their fundamental cause, and eventually improving model performance. This is an exciting opportunity for developers who are eager to learn and work in a fast-paced environment. 


Job Responsibilities:

  • Create and contribute to open-source applications for model and data analysis
  • Make sure the agile processes developed by the team are followed, and actively participate in their improvement
  • Deliver carefully thought-out, thoroughly tested, and well-written Python code
  • Identify business requirements and translate them into machine-learning solutions by working with data scientists and other stakeholders

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 5+ years of relevant experience as a Python Engineer
  • Advanced knowledge of Statistics and Machine Learning
  • Experience with data visualisation is nice to have, as well as experience with writing complex Machine Learning models from scratch
  • Ideal candidate will have worked with large volume of data/clients
  • Great English communication skills, both written and spoken

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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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