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Must-have:
  • 2+ years of practice in the Machine Learning / Deep Learning field.
  • Hands-on experience with AI frameworks such as Tensorflow, PyTorch, etc.
  • Excellent interpersonal skills, cross-group, and cross-culture collaboration.
  • Proven ability to develop original ideas.
  • At least Upper-Intermediate English level.
  • Experience with OpenAI Gym.
  • Deep understanding of RL techniques.
Must-have:
  • 4+ years of experience as ML Engineer with data driven projects. Deep understanding and practical experience with Big Data Stack (Apache or Amazon).
  • Deep knowledge of statistics, probability theory and ML.
  • Practical experience with Python (NumPy, Pandas, Matplotlib, Networkx package, Scikit-Learn).
  • Practical experience with DL modelling using relevant frameworks (TensorFlow,PyTorch, Keras).
Must-have:
  • A degree in Computer Science or Mathematics, or similar field or equivalent experience.
  • Experience with TensorFlow/Python3.
  • Deep learning experience - CNNs, RNNs.
  • Excellent communication skills and ability to explain data-driven insights clearly.
  • Striving for simple solutions to complex problems.
Must-have:
  • Python, Django REST Framework, Mongoengine, Gunicorn.
  • PostgreSQL, MongoDB.
  • Experience with CI / CD.
  • Understanding(and experience) of API documentation.
  • Caching (Redis or RabbitMQ).
  • Celery.
Must-have:
  • React JS, ES6+, nodeJS, SCSS, JSX, Webpack, Gulp, Redux, ExpressJS.
  • Responsive Web Design, Cross-Browser and Cross-Device Compatibility.
  • Understanding of HTTP-protocol.
  • Git.
  • Experience of code coverage with tests.
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