Machine Learning Engineer

Industry: Technology
Company size: 251-10K

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Job description

An NYSE-listed company that is providing state-of-the-art computing technology and services to users across the globe is looking for a Machine Learning Engineer. The engineer will be actively reviewing approaches created by team members and helping them to find the optimal solutions to the problems. The company is helping customers to accelerate their digital journey by providing them with modernized services. This position requires at least 8 hours of overlap with the IST time zone. 


Job Responsibilities:

  • Review, analyze, and assess the application and approaches designed by other engineers and provide necessary feedback
  • Fine-tune and train language models and use reinforcement learning to guide their output
  • Utilize advanced technology to build data ingestion, machine learning pipeline, and MLOPS
  • Write robust, clean, manageable, and reusable code
  • Improve and broaden Machine Learning framework and libraries

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as an ML Engineer
  • Experience with SQL/NoSQL, Python, and other programming languages such as Java and C#
  • Prior containerization experience
  • Working experience with Kubernetes, Docker, and Git
  • Experience in cloud technologies
  • Good with written and verbal English communication

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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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