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2+ years of experience as a developer, data scientist or machine learning engineer. 11+ years of experience spanning Engineering / Data Science / Technical Program Management leading cross-functional efforts in the software or tech industry in a data-driven environment.
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MS or PhD in Computer Science, Computer Engineering or Electrical Engineering or related field in Deep Learning, Machine Learning, and Computer Vision or equivalent experience.
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As world leaders in digital technologies including IoT, Artificial Intelligence, Machine Learning, Robotic Process Automation, Chatbots, Block Chain and Cyber Security, Sonata’s people and systems are nurtured to deliver on our commitment to excellence in business technology solutions.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience of RF signal propagation, channel modeling, digital communications, RF sensing, signal analysis, machine learning, and associated signal processing technologies is desired, as well as MIMO systems and mesh networking knowledge would be considered a definite plus.
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Work with the CTO and VP of engineering to identify technical development priorities and roadmaps and help with the implementation of those roadmaps. Working with the CTO and the VP of Engineering to oversee the successful technical delivery of the companys R&D programs.
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Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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Technical knowledge of neuroimaging and brain anatomy, experience with organizing, maintaining, and analyzing large brain imaging datasets, programming expertise with python, Bash and parallel computing, experience with Brain Imaging Data Standards (BIDS) and MRI—based neuroimaging software programs (e.g., FreeSurfer, ITKSna) and statistics/machine learning strongly preferred.
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Data Pipeline Engineering: Design and develop data processing pipelines to ingest, clean, and preprocess large-scale datasets, ensuring data quality and integrity throughout the machine learning lifecycle.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (, AWS, Google Data Analytics, Microsoft Azure) Information for applicants with a need for accommodation: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
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You'll develop data integrations for our dental record management system, manage and organize training data for Machine Learning development, and evaluate cutting-edge machine learning technologies for dental X-ray analysis.
$100,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In particular, the Department is interested in candidates focusing on immunoengineering, computational molecular design, and the use of artificial intelligence and machine learning in biology and medicine.
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A Bachelor’s degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health that includes 12 semester or 18 quarter units of coursework in data science, predictive analytics, research methods or statistical analysis.
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This role will be responsible for strategic planning of Machine Learning initiatives with the Product, Engineering, Performance and Business Intelligence teams, analysis of potential impact and prioritization of those projects.
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Research Engagement: Regularly survey research publications in machine learning and software engineering communities. ML for Media: Experience leveraging machine learning techniques for live and VOD assets.
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Sonata’s Platformation approach ensures services built on Microsoft Dynamics 365, Microsoft Azure, AWS, Cloud Engineering and Managed Services deliver on the Platformation promise. The ideal candidate will have a strong background in Manufacturing Operations, including Engineering, Quality Assurance, Manufacturing Operations, and Environmental Health & Safety (EHS.
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engineering machine learning jobs in Los Angeles, Sherwood, Oregon
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