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EQS seeks to keep abreast of the latest innovations in the areas of Technology and Software, having solutions to meet the needs and goals established with its clients, to manage their assets’ lifecycle. Being already internationally recognized as a company with high potential for innovation, EQS developed UNO project, one of its most disruptive projects. UNO is a Software as a Service (SaaS) technological solutions project that enables digital operations, working with data monitoring and analytics to create better and faster decisions that magnify business potential and accelerate growth. Through our deep industry knowledge and specific solutions, we help to design and implement digital strategies. UNO Platform delivers IoT, Machine Learning, Artificial Intelligence and operational applications as a service, that will ultimately lead to event prediction and resource’s optimization. At UNO, we strive to upgrade overall performance, reliability, integrity and safety through decision-making process improvement and digital expertise. Responsibilities: - Collect, process and cleanse data. Transform and convert unstructured datasets into structured data for algorithm input. - Develop and test end-to-end machine learning systems, from data pipelines and training to real-time predictive engines. - Anticipate customers business needs and innovate by building working prototypes in one or more of the following areas: Computer vision, object detection and localization, natural language processing, recommendation systems, forecasting. Required: - MS degree in Computer Science, Applied Mathematics or related quantitative field with 4+ years of relevant experience, or Ph.D degree in Computer Science, Applied Mathematics or related quantitative field with proven track record of complex Big Data background. In case of the latter, please include your published papers and R&D past projects. - Experience in one or more of the following areas: machine learning and optimization, pattern recognition, deep learning. - Familiarity with popular machine learning frameworks/libraries such as: sklearn, spark mllib, Tensorflow/Theano/Keras/Caffe or other. - Experience with one or more general purpose programming languages: Java, C/C++ or Python. - Experience integrating machine learning algorithms into applications (design and implement). - Scientific, data-driven mindset. Preferred qualifications: - Knowledge and experience in high performance computing (CUDA/OpenCL). - Ability to profile, benchmark, optimize and scale algorithms and/or DL architectures on industrial problems and situations. Location: Portugal For more information and application submission please contact us ---@--- |
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