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Working knowledge and/or hands on fraud detection experience with card products, card processors, card networks, and one or more fraud rule systems such as Defense Edge, FDWC, Falcon Expert, Tsys Card Guard, Tsys Determinator, Broadcom 3DS, Token Administration, Visa Risk Manager.
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For example: Transaction Monitoring Systems, KYC/CDD, Sanctions and Wire screening Applications, Network Analysis, Entity Resolution & Identification and Segmentation utilities or Case Management solutions.
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Design and develop Computer Vision, Natural Language processing and Machine Learning algorithms, in large-scale production systems and assess solutions performance with statistical analysis. VidMob is the leading creative effectiveness platform, trusted by the biggest global brands to drive ROI through AI-driven creative data.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools.
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Familiarity with healthcare data standards, EHR systems, and medical terminologies (e.g., HL7, ICD-10, SNOMED CT) is a plus. We are looking to hire a staff machine learning engineer to join our RVO Health data science team.
$138,700 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Industry experience using TensorFlow or Pytorch, and open-source software libraries to develop Representation Machine Learning Systems, e.g. Next-Best-Action, Recommendation systems; Deep Learning Neural Networks; Large Language Models; Image understanding; Document classification and keyword extraction.
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Experience with a variety of systems, such as image recognition, machine learning, Edge AI, networking and communication, deeplearning, artificial intelligence, advanced computing, image annotation, data science, and image/video segmentation.
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3+ years of experience managing data product development at enterprise scale, including on cloud platforms, Spark or other big data ML systems, and comfort using Jira, Slack, Teams, and other collaboration tools.
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Specialized experience for this position includes: Experience applying analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory; link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the study.
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Work on challenging data science projects like NLP, computer vision, recommender systems, advanced statistical prediction models, and other AI technologies to drive revenue and enhance the personalized shopping experiences of our 50M members.
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The candidate shall independently provide system updates and enhancements, organizational processes, and systems to improve the effectiveness of both organizational strategy and operations of programs supported by DHP. This will include updating, enhancing, and maintaining the data repository and internal Power BI-based DHP Dashboard, and other program management tools to track progress efficiently and effectively toward national goals and manage/monitor DHP recipients.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Under general direction, you will develop models using Machine Learning, Deep Learning, and other similar technologies to predict and analyze data on hardware and software systems within a large server infrastructure to prevent outages and pinpoint errors.
$90,000 - $100,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology.
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Data mine various data systems, clean and structure data to optimize model performance and identify areas for data quality improvements in enterprise data environment.
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systems job Title: data scientist in Atlanta, GA, Australia
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