Product Development

Machine Learning Engineer

RESPONSIBILITIES

  • Working with large and complex datasets, including but not limited to, social media texts, images, and geo-locations.
  • Developing and evaluating AI models for different use cases in a continuous delivery environment.
  • Designing new dataset and preparing data for new applications.
  • Extending and maintaining AI automation in the organization.

QUALIFICATIONS

  • Applicants from any educational program are welcome (our team has people from anthropology, computer science, industrial engineering, and linguistics training).
  • Python, basic regular expression, and basic SQL are preferred.
  • Fluently explain how your code/model is working and why you designed it this way
  • Experienced in at least one of the following areas:
    • Computer vision
    • Information retrieval, 
    • Natural language processing
    • Pattern recognition
    • Internship and self-directed learning projects can be counted
  • Excellent problem solving, critical thinking, and interpersonal skills

Experiences in the following skill is a plus 

  • Good understanding on basic mathematics and statistic
  • Experiences in some of these data analysis libraries and machine learning architectures, like Caffe2, MXNet, pandas, Scikit-learn, TensorFlow, and Torch
  • Experiences in Unix-based server and cloud platform management (AWS,Google Cloud) 
  • Experiences in software development with a virtual environment or container like Docker or Python’s venv
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