{"id":4141,"date":"2017-12-04T14:33:29","date_gmt":"2017-12-04T13:33:29","guid":{"rendered":"http:\/\/eubias.org\/NEUBIAS\/?p=4141"},"modified":"2018-08-29T16:51:48","modified_gmt":"2018-08-29T15:51:48","slug":"machine-learning-developer","status":"publish","type":"post","link":"https:\/\/eubias.org\/NEUBIAS\/machine-learning-developer\/","title":{"rendered":"Machine Learning Developer"},"content":{"rendered":"<h3>Machine Learning Developer<\/h3>\n<p>Cytomine, Liege, Belgium<\/p>\n<p><strong>A full-time position R&amp;D in Machine Learning Image Analysis.<\/strong><\/p>\n<p><strong>\u00a0Cytomine :<\/strong> the company : <a href=\"http:\/\/cytomine.coop\">http:\/\/cytomine.coop<\/a><br \/>\nWe develop and maintain the Open Source software Cytomine, and actively collaborate with academic researchers in Machine Learning Image Analysis.<br \/>\nWe are a young start-up, a spin-off of the University of Liege, and a cooperative open to participative governance.<\/p>\n<p><strong>\u00a0Cytomine :<\/strong> the software : <a href=\"http:\/\/cytomine.org\">http:\/\/cytomine.org<\/a><br \/>\nThe Cytomine software is a full web open source platform dedicated to online collaborative analysis of very big images. It has been developped mainly for biomedical images analysis, but can be used in many other imaging fields.<\/p>\n<p><strong>\u00a0Job Summary :<\/strong><br \/>\nYou will contribute to the development of new Machine Learning Image Analysis processes and algorithms, and their integration into the Cytomine software.<br \/>\nYou will be responsible for the quality control of new and existing processes and algorithms and will be in front-line of exciting innovations.<br \/>\nAs we intensively collaborate with academic researchers involved in Machine Learning, you will also be responsible for the integration of new algorithms, processes or technologies issued from academic research into Cytomine.<\/p>\n<p><strong>\u00a0Responsibilities :<\/strong><br \/>\nParticipate in projects from requirements analysis to quality assurance.<br \/>\nDevelop and improve Machine Learning &amp; Image Analysis processes and algorithms for the Cytomine software.<br \/>\nRemain at the cutting edge by keeping a technology\/algorithm watch into these domains in collaboration with our research community.<br \/>\nCustomize (fine-tuning of parameters) processes and algorithms for specific customers.<br \/>\nActively participate in team meetings as an actor of innovation within the company.<br \/>\nKeep focus on software quality (tests, documentation, &#8230;).<\/p>\n<p><strong>\u00a0Qualifications :<\/strong><br \/>\nA Master degree in any topic related with Computer Science, Data Science or Artificial Intelligence. A PhD is an asset.<br \/>\nExperience in artificial intelligence applied to images. Experience and\/or knowledge in Medical Informatics, Bio-engineering\/Biomedical Sciences or equivalent is an advantage.<\/p>\n<p><strong>\u00a0Requirements :<\/strong><br \/>\nExperience in Machine Learning, image analysis and processing of big data.<br \/>\nExperience in Python development, and especially with the Scikit-Learn library.<br \/>\nAble to work openly by sharing information and knowledge.<br \/>\nFluent English.<br \/>\nWorking knowledge of Linux.<br \/>\nBeing passionate, enthusiastic, and motivated to be a self-starter.<br \/>\nAble to multi-task and to stay organized in a dynamic work environment.<br \/>\nShare the values of Open Source, Open Access, Open Science and Open Governance.<\/p>\n<p><strong>\u00a0Assets :<\/strong><br \/>\nKnowledge in microscopy and bioimaging techniques and technologies.<br \/>\nExperience with Cytomine, Icy, and Bioformat softwares.<br \/>\nExperience in Open Source software development.<br \/>\nExperience with Docker.<br \/>\nExperience in software architecture and web development.<\/p>\n<p><strong>\u00a0What we offer :<\/strong><br \/>\nSalary : an attractive package.<br \/>\nGovernance : possibility to participate in the decisions of the company.<br \/>\nHuman values : working in a social purpose company.<\/p>\n<p><strong>\u00a0Interrested ?<\/strong><br \/>\nContact us us at <a href=\"mailto:jobs@cytomine.coop\">jobs@cytomine.coop<\/a><\/p>\n<p>Original announcement at\u00a0<a href=\"http:\/\/www.cytomine.coop\/job\">http:\/\/www.cytomine.coop\/job<\/a><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Machine Learning Developer Cytomine, Liege, Belgium A full-time position R&amp;D in Machine Learning Image Analysis. \u00a0Cytomine : the company : http:\/\/cytomine.coop We develop and maintain the Open Source software Cytomine, and actively collaborate with academic researchers in Machine Learning Image Analysis. We are a young start-up, a spin-off of the University of Liege, and a cooperative open to participative governance. \u00a0Cytomine : the software : http:\/\/cytomine.org The Cytomine software is a full web open source [&hellip;]<\/p>\n","protected":false},"author":11,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[9],"tags":[11],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Machine Learning Developer - NEUBIAS: Network of BioImage Analysts<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/eubias.org\/NEUBIAS\/machine-learning-developer\/\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Paula Sampaio\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/eubias.org\/NEUBIAS\/machine-learning-developer\/\",\"url\":\"https:\/\/eubias.org\/NEUBIAS\/machine-learning-developer\/\",\"name\":\"Machine Learning Developer - 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