• 5 years of data science/ML experience
• 2+ years of hands-on production experience delivering products or solutions that utilized Machine Learning, Natural Language Processing or other forms of AI solutions like machine vision
• Highly skilled in Python (NumPy) and preferably in one or more programming languages like C++, Java, Go, etc
• Strong hands-on experience in one or more of the Machine Learning tools like TensorFlow, PyTorch, Keras, Theano, or Caffe and have solved several real-life problems using these
• Experience in a variety of Deep Learning architectures and models including Residual Networks, RNN/CNN, Transformer, and/or Transfer Learning in a production environment
• Experience in designing and implementing Machine Learning pipelines in production environments
• Experience implementing solutions in a cloud environment (AWS or Azure) is a plus
• Experience working with data science in automotive telematics data and video is a plus