Applied Scientist - Computer Vision

As a candidate for this position, you should have a PhD or MS in CS Computer Vision, Machine Learning, Statistics, or in a highly quantitative field. You must also possess at least 3 years of experience in understanding and implementing algorithms in computer vision using both toolkits and self-developed code. It is essential to have a minimum of 1 year of experience in Java, C++, or other programming language, as well as with R, MATLAB, Python, or a similar scripting language. Hands-on experience in building DNN, CNN, LSTM models and using commercial frameworks like TensorFlow, Caffe, or Theano is crucial. You should also be able to define ground truth (data definition & rules), training & validation data sets. Excellent written and verbal communication skills are necessary for effective communication to both technical and nontechnical audiences. Moreover, strong problem-solving abilities are a key requirement. Key Responsibilities: - Hold a PhD or MS in CS Computer Vision, Machine Learning, Statistics, or in a highly quantitative field - Possess at least 3 years of experience in understanding and implementing algorithms in computer vision - Have hands-on experience in building DNN, CNN, LSTM models - Define ground truth, training & validation data sets - Excellent written and verbal communication skills - Strong problem-solving abilities Qualifications Required: - PhD or MS in CS Computer Vision, Machine Learning, Statistics, or in a highly quantitative field - Minimum of 3 years of experience in understanding and implementing algorithms in computer vision - Hands-on experience in building DNN, CNN, LSTM models - Experience with commercial frameworks like TensorFlow, Caffe, or Theano - Strong problem-solving abilities - Excellent written and verbal communication skills Please note that the company's additional details were not provided in the job description.,