Data Scientist
[medical, pathology, satellite] using technologies such as [OpenCV, tensorfow, Python].
https://sflscientific.com/
Please send all resumes to [email protected]
An immediate hire is needed; application deadline: May 15th 2017
Responsibilities Include:
• Develop, validate, and productionize deep learning networks to classify and segment satellite images. Direct experience with TensorFlow and U-Nets is preferred.
• The individual is expected to be able to build efficient, flexible, extensible, and scalable solutions to system administration problems and big data handling.
• Develop and translate algorithms (image processing) that integrate into working prototype code.
• Create algorithms and heuristics to extract information from large data sets and implement into software and scripts.
• Maintain and enhance data pipeline (image handling, cluster) for scalability and reliability.
• Mine and organize data sets of both structured and unstructured data.
• Design, implement, and support a platform that can provide ad-hoc access to large image datasets.
• Develop interactive dashboards, reports, and analysis templates.
Qualifications Preferred:
• A MS or PhD degree in Computer Science, Machine Vision, Artificial Intelligence, Machine Learning, or related technical field (Data Science, Mathematics/Statistics, physical science or engineering is strongly desired).
• Strong Linux and software development skills are required together with experience coding in C/C++, Python and associated languages.
• Database engineering and coding skills are required, including those for big-data (MySQL/NoSQL, etc).
• Experience with the software stack/framework relevant for distributed processing of big data is required (e.g. Spark, SGE)
• Experience in building or maintaining, and interacting with, large, scalable, or high-performance computer systems is required.
• GPU coding experience is desirable.