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100% REMOTE Senior ML Ops Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company! Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc.
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MS/PhD in areas of interest which include Defense (biosecurity, intel, threat assessment), Machine learning and modeling (computational biology, bio- or medically focused AI/ML, digital twins, predictive and multi-scale modeling) and chemistry (medicinal, organic, inorganic.
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Deep interest in AI capabilities: the technologies (e.g. machine learning, deep learning, and neural networks) and the emerging field (e.g. GenAI, AI Governance, Explainable AI (XAI. Working knowledge of Responsible AI policy, governance, trends, frameworks, evaluation techniques for machine learning models, and best practices.
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Experience in theoretical and practical background in statistical analysis, machine learning, predictive modeling, and/or optimization. Conduct data analysis, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products enabling more informed analytic decisions.
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Experience in data analysis tools and techniques, including statistical analysis, data visualization, and predictive modeling. Criminal Analyst (Med) - (Intelligence and Investigative Analytical Support) - TS/SCI US Immigrations and Customs Enforcement (ICE.
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The Machine Learning Engineer will work across multiple research areas developing and maintaining custom applications and data pipelines featuring generative AI, natural language processing, LLMs, and other foundation models.
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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. As a Machine Learning Engineer, you will be responsible for designing and implementing Generative AI systems (LLMs/NLPs.
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Knowledge of machine learning, AI, or Natural Language Processing (NLP) As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence (AI.
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Data science techniques such as predictive analytics, machine learning, natural language processing and business intelligence, including use of big and non-tabular data. Analysis, design and implementation of country-level health architectures, including knowledge of relevant technical standards for digital health such as ICD10, HL7, SNOMED and OpenHIE.
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The ISGL will also work with the QOI Department Head and Chief Engineer to expand MITRE’s work program into areas including physics machine learning models, remote sensing, and smart cities and transportation systems.
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Responsible for overseeing a team of data analysts and data scientists to provide analytical support through machine learning, statistical analysis, causal analysis, and modeling and simulation within the people analytics team.
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Enhance our disease understanding through the implementation of advanced statistical and/or machine learning methodologies across a range of areas from complex in-vitro models through to market access activities involving real world data to directly support business critical projects.
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Nitra offers physicians and medical clinics around the country credit and expense management products they crucially need, as well as a medical supply marketplace, in an all-in-one platform powered by machine learning technologies.
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2+ years of education or experience in at least one technical area related to next-generation wireless communications including 5G, 6G, ORAN, and LED satellites; advanced computing, including quantum, artificial intelligence/machine learning, and high performance computing; biotechnology, including neuroscience, human DNA forensics.
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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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machine predictive jobs Company: Techflow in Bethesda, MD
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