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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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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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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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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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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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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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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. At a minimum, you should be able to implement and optimize deep learning algorithms developed by others.
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Machine learning libraries: TensorFlow, PyTorch, Scikit-learn , Deploying and optimizing different pipelines that support various data science processes. We are looking for candidate who can work without any sponsorship #W2 Machine Learning Engineer with 7+ years of experience in designing, building, and maintaining machine learning models and pipelines.
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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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Be THE subject matter expert in Cloud Security and Application Security Posture Management (ASPM), translating deep knowledge into persona-specific partner learning experiences. Collaborate with and provide subject matter expertise to partner learning professionals with the goal of upskilling CrowdStrike partners through enablement experiences, including live training, on-demand learning, video job aids, assessments, podcast education and train-the-trainer programs.
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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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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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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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Key Qualifications: 7+ years experience building enterprise level applications on large-scale distributed systems Deep knowledge of BI concepts and implementation experience on Cloud with databases like SnowFlake, Big Query, Cloudera In-depth understanding of fundamentals of object-oriented design, data structures, algorithm design, and problem solving Expertise in programming and developing high quality software.
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computer science deep learning jobs Title: patent attorney in Austin, Lawrence, New Jersey
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