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Someone with experience developing deep learning algorithms using TensorFlow, Keras or Pytorch, and experience with OpenCV. You will report to the Director of Machine Learning. We are looking for a highly skilled Computer Vision/Machine Learning Engineer that has experience or education in image processing, machine learning, video coding & compression, and system integration.
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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA or St. Louis, MO.
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Masters degree and 3 years of Machine Learning Engineer, Data Engineer, Software Engineer, or Data Scientist OR. High school diploma / GED and 12 years of Machine Learning Engineer, Data Engineer, Software Engineer, or Data Scientist.
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6+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role 6+ years of programming experience with modern languages such as Python, R, C#, Java, or Scala.
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As the Data Scientist, your skillset will create useful and actionable insight for the customer through the development of machine learning, deep learning models, and related algorithms.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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Solid understanding of machine learning techniques, deep learning architectures, and generative models (e.g., GANs, VAEs) Background in adversarial machine learning and emerging attacks like data poisoning, model extraction, membership inference, etc.
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Manager, Cyber Risk & Analysis (Machine Learning) Capital One's commitment to Machine Learning has sponsorship from leadership and the Enterprise ML Program is at the heart of this effort, and is leading the way towards building responsible and impactful tools, platforms, and solutions that leverage ML and Generative AI.
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As a Data Scientist at our client, you will play a crucial role in developing and implementing state-of-the-art machine learning models for use cases in traffic safety, mobility, and city planning.
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The Data Scientist will join a team responsible for developing advanced analytics products; applying Machine Learning, Artificial Intelligence and statistical programming tools to enterprise data to advance and enable key mission outcomes.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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3+ years' experience working with projects involving machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, as well as statistical and mathematical methods.
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Our high-performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence.
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Illustrative technologies or fields that the incumbent would be familiar with include big data, artificial intelligence/machine learning, open APIs, digital IDs, cloud computing, 5G, internet-of-things (IoT), distributed ledger technology, and others.
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You have familiarity with analytics like machine learning, natural language processing, or data visualization, particularly for creating tools that scale complex analytics workflows for less technical end users.
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machine learning jobs Title: expert Company: Gartner in Alexandria, VA
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