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Machine Learning Engineer at Aidaptive

Role overview

Qualifications

  • Bachelor's degree in Computer Science, Mathematics, or equivalent practical experience
  • Python development experience for modeling
  • Experience with deep learning frameworks including TensorFlow and other machine learning libraries
  • Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field

Responsibilities

  • Develop solutions for real world, large scale problems
  • Design, develop, test, maintain and improve Machine Learning models
  • Manage project priorities, deadlines, and deliverables

Key facts

Hard skills

About the company

Aidaptive logo

Aidaptive

  • AdTech & MarTech
  • Startup
  • 11–50
Founded by the former Google AI team behind Google Ads and Payments, Aidaptive is powering the next generation of digital commerce with an enterprise-grade adaptive AI platform.

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Job description

Role:

We're a global team with a track record of building world class enterprise products and are seeking talented Machine Learning Engineers to develop and optimize ML models.

Minimum qualifications:

  • Bachelor's degree in Computer Science, Mathematics, or equivalent practical experience.
  • Python development experience for modeling.
  • Experience with deep learning frameworks including TensorFlow and other machine learning libraries

Preferred qualifications:

  • Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
  • Experience in building, deploying, and improving machine learning models and algorithms in real-world products.
  • Experience with one or more of the following: natural language processing, computer vision, recommendation systems or similar.

Responsibilities:

  • Develop solutions for real world, large scale problems.
  • Design, develop, test, maintain and improve Machine Learning models.
  • Manage project priorities, deadlines, and deliverables.

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