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Conducting cutting-edge research in the fields of artificial intelligence, machine learning, and robotics, specifically as they relate to autonomous vehicle technology. Staying up-to-date with the latest advancements in AI, machine learning, and autonomous vehicle research, and identifying potential areas of improvement for our existing systems.
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Reporting to the Museum Director & Co-Founder, the Director of People and Culture is a member of the six-person leadership team, which defines and implements organization-wide strategy and policy.
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Skilled with models for DoD problems and is familiar with natural language processing, machine learning, predictive modeling, statistical analysis, and hypothesis testing. Skilled with the use of open-source tools, cloud computing, machine learning, and data visualization.
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Machine Learning Engineer II page is loaded. Experience with machine learning frameworks such as TensorFlow. Work in a cross-functional team of Machine Learning engineers and Machine Learning Scientists to design and code large scale batch and real-time ML.
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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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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. Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
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Use the full software lifecycle to create data science products which include data ingestion, analytics which may include machine learning, and some form of output as either a machine-readable format (e.g. file output, database output, standard/streaming output) or a user interface or dashboard.
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Familiarity with Azure services related to AI and ML, such as Azure Machine Learning, Azure Cognitive Services, and Azure Databricks. Our team is seeking a Senior Data Scientist / Machine Learning Expert with specialized experience in Generative AI and Large Language Models (LLMs), chatbots, and natural language processing to contribute to transformative projects for a government client within the Department of Homeland Security (DHS.
$180,000 - $250,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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In this role, you will leverage your expertise in Python, Natural Language Processing (NLP) techniques, algorithms and statistics, as well as your familiarity with US Department of Defense mission needs, to deploy, optimize, and evaluate innovative machine learning and algorithmic solutions in client environments.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community.
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Emerging Technologies Group: Covers a wide range of work including Internet of Things (IoT) penetration testing, intelligent automation, artificial intelligence/machine learning and quantum computing.
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As a Celebree School Director , you'll be embarking on a journey of leadership and impact. Celebree provides a supportive environment where team members have access to continuous learning, development opportunities, individual growth plans, and career pathways.
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As a Senior 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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Validating and training AI machine learning models with annotated training sets in tuning accuracy of the AI models for CLM use cases;Demonstrating knowledge of machine learning and artificial intelligence workloads and considerations on Azure;Demonstrating knowledge of Azure Blob storage, Azure Service Bus and Azure Key Vault cryptography;Designing solutions for custom applications using the Microsoft.
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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.
$75,600 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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