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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
$100,000 - $155,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with popular machine learning frameworks including Tensorflow, Keras or PyTorch. Under the direct supervision of Dr. Peter Chang, the candidate for this position will act as senior data engineer for the Chang Lab, in turn supporting various campus-wide initiatives for health informatics including the Center for Artificial Intelligence in Diagnostic Medicine (CAIDM), Institute for Precision Health and the Health Data Platform Collaboratory.
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Delivering high-quality software design, documentation, and implementation Minimum & Preferred Qualifications and Experience:Minimum Qualifications: 3+ years of professional experience in artificial intelligence, machine learning, and/or deep learning Experience with modern frameworks such as Tensorflow, Keras, Pytorch, Caffe, etc.
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The company's proprietary operating system, aiWARE, orchestrates an expanding ecosystem of machine learning models to transform audio, video and other data sources into actionable intelligence.
$140,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Python, Shell Scripting, Linux-based operating systems, Machine learning and image processing applicationsThe essential requirements of the job include: Master’s degree in electrical/computer/biomedical engineering.
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Develops and supports back-end software applications in the areas of data integration and data replication, data modeling, data security, artificial intelligence/machine learning, and database management by utilizing various developmental tools.
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This role will have expertise in data movement and database technologies support data analytics and Machine Learning (ML) / Artificial Intelligence (AI) capabilities in the cloud.
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Evaluates and recommends upcoming industry trends, best practices, cutting-edge tools, and novel programming approaches that leverage machine learning, simulation, robotic automation, metadata driven processes, artificial intelligence, and natural language processing.
Full-timeRemoteExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Demonstrating a thorough level of knowledge in statistical modeling, algorithms, data mining, and machine learning algorithms problem solving.
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As a member of the VBG Enablement team, within the Artificial Intelligence and Data (AI&D) organization, you will lead a portfolio of innovative projects to enable AI, Machine Learning and Big Data initiatives - supporting growth and digital transformation in the Verizon Business Group (VBG.
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We have exciting roles for Data Science professionals to help build and solve some of the most unique, interesting, and challenging questions related to Natural language processing (NLP) utilizing a variety of Machine learning and deep learning techniques within Artificial Intelligence.
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Topics range across all possible topics including, but are not limited to, machine vision for robotics, reinforcement learning, field and algorithmic robotics, and human-robot interaction.
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5+ years of experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS technologies. Ideal candidates must have deep technical experience working with technologies related to artificial intelligence, machine learning, and/or deep learning.
$122,900 - $239,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure) 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.
$81,000 - $164,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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2+ years of experience working with artificial intelligence (AI) techniques such as any of the following: machine learning, deep learning, and natural language processing, applying these techniques to solve complex business problems.
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