Machine Learning Intern

Job Responsibilities : 

• Design, implement, test, and document new features and improvements for deep learning applications.
• Identify transfer learning opportunities and new training datasets.
• Identify and choose the right deep learning or cognitive computing technologies for solving problems and formulate deep learning recipes for development.
• Participates in multiple application development specialties, including machine learning applications, application programming interface development, and mathematical and logical algorithm development.
• Work under general supervision to complete assigned software development tasks.
• Participate in team activities, including stand-ups, code reviews, design sessions, and demos. In addition, they will automate the testing and deployment of new features and products.

Job Requirements : 

• BSc in Computer Science, Mathematics, or similar field.
• Programming experience in Python 2.x & 3.x, TensorFlow 1.x & 2.x, Keras, scikit-learn, Matplotlib, OpenCV, Numpy.
• Additional programming experience in any of the following would be an added advantage: PyTorch, Caffe2, Pandas, and Git.
• Basic knowledge of machine learning evaluation metrics and best practice.
• Analytical and problem-solving skills.