Senior Deep Learning Engineer, Cloud Computing Technologies Agile Development Labor Rate leads the team to facilitate the development of various deep learning algorithms used by advanced technologies in highly specialized industries such as the self-learning software algorithms that allow spacecraft to study and to enable some aircrafts to fly without the aid of pilots. Drive and approve the decisions for new projects from the start through the entire process of production. Coordinate the team in obtaining both structured and unstructured data used in developing useful deep learning algorithms that meet human needs. Work with the team and guide the creation of data pipelines, the update of existing ones, and experimentation with new ideas to optimize production. Lead various initiatives that involve the design, development, and training of deep learning systems to carry out automated tasks such as image captioning, object segmentation, object recognition, and several other operations. Have a Master’s degree or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics/Statistics, or other related fields. Have 11 or more years of experience training Deep Neural Networks, including CNNs, GRUs, and LSTMS. Demonstrate expertise in Software Engineering and Data Modeling fundamentals. Proficient at handling newly emerging machine learning and deep learning technologies. Have significant hands-on experience and fluency with a variety of programming languages such as Python, Java, or C++. Proficient knowledge of software programs such as TensorFlow, Keras, and PyTorch.
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