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AI Expertise: Proven experience in developing and deploying AI models, including familiarity with machine learning algorithms, natural language processing, and data analysis techniques.
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The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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Experienced in managing research or engineering teams in Machine Learning, Natural Language Processing, or related fields. Technical leadership in an applied science team in the area of Large Language Models, Natural Language Processing, Machine Learning and Deep Learning.
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The ML Research Scientist will also have a hands-on role and is expected to customize and create various machine learning algorithms to operate over multi-domain data and optimizing the performance of those algorithms on the data.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Expertise in data strategy, data architecture, data engineering, advanced analytics, data science, data mining, and machine learning. Partner with key business executives to develop and drive a Data Governance framework that enables a common data language and creates trust in enterprise data.
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The Opportunity 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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15 years of relevant experience, ideally in data science/analytics, programming, software engineering, control, audit, or risk roles and/or public accounting, with an emphasis in machine learning.
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Capable of applying the latest technologies and methodologies in data mining, machine learning, and predictive analytics to correlate disparate data sets and events, and derive value.
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AECOM’s Buildings + Places practice includes architecture, interiors, building engineering, workplace strategy, business transformation, asset advisory, economics and development planning, master planning, urban planning, and landscape architecture.
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Marks/tattoos appropriate body anatomy for daily re-positioning on linear accelerator; Documents or captures patient measurements and machine treatment parameters for dosimetry planning and calculations; Acquires Computed Tomography machine data sets for patient positioning, contours and set-up parameters.
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At Cognizant Digital Engineering, a small cross functional team comprised of a Product Manager, an Architect, Full-Stack Developers, UI/UX designers and Big Data analysts builds higher quality software faster siloed individuals working independently.
$195,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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HQ-ed in McLean, VA and with a presence in New York, London, and Singapore, Pixalate is experiencing remarkable growth and looking to bring a Machine Learning Engineer onboard. Experience in designing and implementing AI systems, including Natural Language Processing (NLP) systems, and Large Language Models (LLMs) such as GPT. Proficiency in one or more programming languages like Python, Java, C.
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It leverages technologies like robotic process automation (RPA), machine learning, natural language processing, and blockchain to help its clients enhance operational efficiency, improve customer experience, and drive business growth.
$60 an hourFull-timeExpandApply NowActive JobUpdated 1 month ago
machine learning natural language full data engineering jobs in Washington, DC
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