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Experience with Digital Engineering, Machine Learning and Artificial Intelligence, Software Development, Solid-state Electrical Circuit Design, Unmanned Systems Design, Human Factors Engineering, or Fault Tree Analysis.
$60,400 - $137,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Statistics, machine learning , data mining, data auditing, aggregation, reconciliation, and visualization. Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization.
$112,200 a yearExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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As part of a growing team this role will have the ability to leverage and work with new capabilities as they are deployed including deception infrastructure, continuous penetration testing, data loss prevention (DLP), and machine learning capabilities.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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As a machine learning engineer, you'll train, test, deploy, and maintain models that learn from data. As an experienced engineer, you know that machine learning (ML) is critical to understanding and processing massive datasets.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling to data visualization and dashboarding for business intelligence (BI), to predictive analytics, machine learning, and artificial intelligence.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Provide technical excellence to apply state-of-the-art machine learning / artificial intelligence utilizing technologies such as Spark, R, Hadoop, Scala, SQL to real world infrastructure business problems.
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Should have led AI/ML projects in current role and should have the experience in designing, developing, and implementing machine learning models and algorithms. You will iterate on improvement rapidly with a mindset for failing fast and learning continuously from data.
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Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities. Learning & Development Opportunities: On-demand online training and book reimbursement.
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We are a Gartner top right, high growth Identity Security SaaS organisation: the only company with a multi-tenant, micro services built SaaS IGA solution and AI and machine learning Identity Security platform.
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Center 1 (19052), United States of America, McLean, VirginiaSenior Machine Learning Engineer (Python, Spark, MLOPS, Cloud) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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Ii) develop of machine learning and computational discovery methods for public health research. ii) develop of machine learning and computational discovery methods for public health research.
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7+ years of experience in core AI techniques including NLP (Natural Language Processing), ML (Machine Learning) and Deep Learning. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots.
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machine learning jobs Company: Infor in Annandale, VA
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