ML Ops Engineer

Industry: Technology
Company size: 251-10K

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Job description

A leading innovative company focused on revolutionizing agriculture by creating intelligent machinery is looking for an ML Ops Engineer. As a member of the engineering team, you will help develop the end-to-end Computer Vision/Machine Learning (CV/ML) pipeline and other infrastructures for the product engineering process. The company has dedicated itself to making a positive impact through technology by creating a space where environment and economic sustainability intersect. The selected candidate will work in a high-impact role focusing on code, versioning of datasets, models, and production endpoints that will enable various teams to collaborate, experiment, and scale fast.


Job Responsibilities:

  • Design and architect advanced auto CV/ML pipeline infrastructure
  • Deliver a higher level of usability and reliability to end-user groups
  • Support cloud-based MLOps at scale
  • Work on Continuous Integration/Delivery for the internal user groups’ CV/ML projects
  • Enhance and extend the DataOps and MLOps infrastructure and functional processes
  • Sustain the internal user groups to make adequate use of the CV/ML channels

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • 4+ years of relevant industry experience in MLOps, DevOps, Site Reliability, and other related aspects
  • Strong proficiency with Python
  • Extensive skills with AWS infrastructure or other cloud providers
  • Experience with Jenkins or other CI/CD tools
  • Understand primary ML practice and production workflows
  • Demonstrable skills using Kubeflow/Kubernetes to build large scale production pipelines
  • Sound leadership skills with an ability to train and supervise other ML engineers/data scientists to make efficient/effective use of the pipelines
  • Core competency with infrastructure as code tools such as Terraform and Cloudformation
  • Proficiency with large scale data pipelines is helpful

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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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