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The data scientist will utilize their expertise in machine learning, statistical data analytics, and predictive analytics to help create and implement data solutions and analytics for diverse Department of Defense (DoD) data sets.
$90,000 - $149,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Solid knowledge of software engineering, machine learning, cybersecurity, and natural language processing; experience in quantum computing and cybersecurity is a plus but not necessary. We encourage everyone who is interested in quantum computing, machine learning, and cybersecurity to apply, especially candidates from historically underrepresented groups in STEM, e.g., Women, Blacks or African Americans, Hispanics or Latinos, and American Indians or Alaska Natives.
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Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks. In-depth knowledge of Apache Spark and Databricks architecture. Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks.
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4 years experience in pre-sales engineering, with at least two years of focus on machine learning or artificial intelligence products. Note: At Yurts, we are dedicated to harnessing the power of AI and ML. If you're interested in learning more about our innovative projects and the impact of AI in transforming industries, check out our blog post here:The bridge to enterprise AI | Yurts Enterprise AI | Blog. This will give you an insight into the fascinating world of AI and the possibilities it holds for the future.
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Stay current with emerging trends, methodologies, and best practices in quantitative finance, econometrics, statistics, and machine learning, and apply them to enhance modeling capabilities and stay ahead of the curve.
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Strong skills in software prototyping and engineering with expertise in applicable programming and analytics languages (Python, R, Spark/Scala) and various open source machine learning and analytics packages to generate deliverable modules and prototype demonstrations of their work.
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They will also have familiarity with ISR data processing capabilities and maintain a contemporary grasp of Artificial Intelligence and Machine Learning tools that are utilized to support ISR data collection.
$100,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with time series analysis techniques and advanced machine learning algorithms in a quantitative finance or risk management environment. As a valued colleague on our team, you will be responsible for leveraging expertise in economics, statistics (with a focus on time-series modeling), and advanced machine learning techniques (including reinforcement learning) to develop predictive models, optimize risk management strategies, and drive actionable insights.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Experience with DevSecOps, CI/CD, IaC and CaC, IT Infrastructure Library, and IT Service Management.
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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 Today - UpvoteDownvoteShare Job
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San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer.
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Technical leadership in an applied science team in the area of Large Language Models, Natural Language Processing, Machine Learning and Deep Learning. Manage an innovative applied science team in the area of Large Language Models, Artificial Intelligence, Machine Learning and Deep Learning.
$133,600 - $282,200 a yearFull-timeExpandUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
$113,200 - $205,500 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
$81,000 - $128,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago
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