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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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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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Develop, deploy, evaluate, and improve machine learning data analytics based on supervised and unsupervised machine learning flows for efficient device model generation and data mining.
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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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Experience with physical modeling, underwater acoustics, wave propagation, signal processing and/or sonar; detection, localization, tracking and classification algorithms and applications; applied mathematics, machine learning, uncertainty modeling and/or statistics; developing in a Linux environment; high-performance, GPU, or cloud-computing experience.
$88,500 - $120,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Principal Applied Scientist in the Prime Video Global App Experience organization you will have deep subject matter expertise in applied machine learning.
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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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Learn & acquire customs and trade compliance knowledge through on-the-job training and coaching by Applied Materials Trade Analyst & Manager. Applied Materials is seeking a Trade Analyst to provide support in achieving deliverables for key trade compliance programs including duty drawback and free trade agreements.
$60,000 - $82,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Remote Sensing team is seeking a Geospatial Analyst with proven geospatial analytical and research skills in support of a major satellite mission to assess methane emissions with a focus on global oil and gas sector using geospatial data and analytics.
$60,000 - $66,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Texas Research Institute (TRI) Austin is a small business with a 35-year history in applied materials science research and development for government and private industry. Apply digital signal processing techniques to a wide variety of sensor data.
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With tech innovation an integral part of our core business, the booming city proved an ideal backdrop for our heavy investment into machine learning, research infrastructure and big data computing.
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THE PERSON: A computational scientist, physicist, or engineer with experience in multiple scientific computing domains and experience with using Machine Learning techniques in an HPC setting.
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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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Minimum of 6 years in engineering, machine learning, deep learning and NLP solutions and applications. 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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Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline. Master's Degree Master' s Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
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machine learning data mining deep applied mathematics scientist jobs Company: Icf Olson in Austin, TX
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