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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. Deep Learning and Computer vision.
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Studying Business Analytics, Data Engineering, Data Science, Computer Engineering, Electrical Engineer, or Computer Science. KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Required QualificationsPhD in Electrical Engineering, Computer Engineering, Aerospace Engineering, Computer Science, Math, Physics, or related disciplineDemonstrated record of authoring peer-reviewed scientific publicationsDemonstrated record of presenting scientific content to technical and non-technical audiencesApplicant must have a dynamic skill set, willing to work with new technologies, be highly organized and capable of planning and coordinating multiple tasks and managing their time.
Starting at $120,000 - $165,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
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This position requires:A bachelor’s degree in computer science, business or equivalent experience and eight or more years of experience as a data engineer, with strong proficiency Databricks, and Azure Data Factory.
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics. You must be knowledgeable in traditional computer vision and image processing techniques.
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15 or more years of experience with a Bachelor's Degree or 12 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, or MD), PhD with 9+ years of experience in computer science, computer engineering, mathematics, or equivalent field with a focus on artificial intelligence/machine learning.
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Location: This role can be based remotely in the EMEA or Americas regionThe role entailsBuild strategic relationships with IHV partners at levelsGrow their awareness of open source capabilities on Canonical UbuntuDemonstrate a deep understanding of the Linux and cloud software ecosystemNegotiate contracts and commercial business termsDemonstrate a deep understanding of large and complex organizationsLead partnerships with global accounts such as IBM, Samsung, DellEMC, HPE, Nokia etc.
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As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Degree in Law, Political Science, International Relations, Data Science, Journalism, Anthropology or related field. ● The ideal candidate will have a degree in political science, data science, international relations, journalism, digital media or a related field, or have a technical or advanced degree such as a PhD.
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Possible courses include introduction to forensic science, crime scene investigation, principles and practices of science and law, crime scene photography, death investigations, and DNA profiling.
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Graduate degree, or working towards completion of a graduate degree, from an accredited college or university with major coursework in Meteorology, Atmospheric Science, Hydrology, Scientific Computing, Civil Engineering, or related field.
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The Sailors in the Submarine Electronics Computer Field (SECF) work with a submarine’s sonar, weapons, communications and navigation systems. “A” School for FTs - This 27- to 33-week course in Groton, Conn., provides a basic knowledge of electronics, mathematics and computer theory to support the operation and basic maintenance of submarine weapons control systems.
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What you’ll bring to Circle: 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Harness the power of transformer architecture, a cutting-edge deep learning model widely employed in natural language processing and computer vision, to optimize the language model's performance and efficiency.
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computer science deep jobs Title: consultant in Austin, Lawrence, New Jersey
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