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Machine Learning Developer

Rocket
Remote, CAN
Remote
Discovered 2 weeks ago
Machine learningAlgorithm designStatistical modelingMachine learning model deploymentData model pipelinesScikit-learn
Free

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Machine learningAlgorithm designStatistical modeling
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About the role

Design and develop platforms and frameworks that support automated data-driven decision-making.

Build systems that gather data and use statistical algorithms and models to learn from experience, predict outcomes, and make decisions.

Responsibilities

  • Collaborate with data scientists on algorithms and tools for training and running simulations.
  • Build services that interact with machine learning models through simulations.
  • Participate in code reviews to ensure code quality and share best practices.
  • Develop services that host trained models and integrate them into business processes.
  • Gather and analyze large datasets and develop data model pipelines.
  • Develop algorithms for automated data-driven decision-making.
  • Build tools to monitor machine learning application performance.

Minimum qualifications

  • Master’s degree in software development, computer science, algorithm design, artificial intelligence, or machine learning, or equivalent experience.

Preferred qualifications

  • One year of machine learning experience using libraries such as Scikit-learn, TensorFlow, Caffe, or Keras.
  • One year of experience working with large structured and unstructured datasets.
  • One year of programming experience with Java, Scala, C/C++, or Python.
  • One year of experience with the Hadoop ecosystem, distributed computing platforms, user interface frameworks, or cloud providers.
  • Ph.D. in a relevant field or equivalent experience.
  • Proficiency in Microsoft Office, strong object-oriented programming skills, and knowledge of big data.

Workplace

  • The position is listed as remote in Ontario.

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