Randstad Engineer Consultant Senior in Saint Louis, Missouri
Engineer Consultant Senior
location:Saint Louis, MO
salary:$45 - $55 per hour
date posted:Thursday, May 17, 2018
Our client is one of the largest companies in the world dedicated to the development, growth and marketing of Agriculture seeds. They strive to develop hybrids that improve nutrition, boost crop yields, limit spoilage, optimize water & climate variables and reduce the need for chemicals and other inputs. They are committed to consistently introducing innovative products to their customers. It's amazing to consider that improving human health, promoting environmental stewardship and fostering greater economic growth for the agricultural community can all start with something as small as a seed.
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This role will be responsible for the development of novel software tools for scientific and quantitative analysis of hyperspectral imagery supporting internal imaging projects (but not limited to image data). Projects stages include proof-of-concept code development, validation, refinement, and/or handoff for implementation. Expected knowledge will include proficiency with feature analysis and predictive modeling of multidimensional data derived from various modalities of imaging devices or sensors. This role also includes data analysis and modeling tasks for sensors or biological experimental data.
Significant hands-on experience with statistical analysis of spectral and imaging data such as PCA, PLS, ANN, SVM, or Bayes inference is highly desired (having knowledge on deep learning, such as CNN, is a strong plus).
Some experience basics of image acquisition, prototype construction and design of experiments is a plus. MATLAB and Python programming skills are highly preferred (experience on deep learning frameworks, such as Tensorflow, Keras, is a plus).
Role will be encompass programming new analysis and modeling approaches for novel applications.
Working hours: 8 AM - 5 PM
Strong familiarity with image processing tools and object classification methods is required.
Preferred candidates will have demonstrated experience in multispectral and/or hyperspectral data analysis, and multivariate classification, and regression methods.
Familiarity with basic concept of version control system such as SVN or Git is preferred.
Must be able to work in high performing teams comprised of multiple disciplines.
Minimum education requirements M.S. (Ph.D. preferred) and 2+ years experience in Computer, Electrical, or Physics, Biological, Agricultural or related field.
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