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NET, MS Copilot, MS Fabric, OpenAI, Azure OpenAI, Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure Databricks, Cosmos DB, Azure Machine Learning Service, Artificial Intelligence including BOT framework, Cognitive Services, Cognitive Search, etc.
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Deep knowledge of Artificial Intelligence (AI), Large Language Models (LLMs), Generative AI (Gen AI), Machine Learning (ML), and Applied Statistics. As an AI/ML Solution Architect, you will collaborate with cross-functional teams, design and lead end-to-end AI and machine learning solutions that leverage cloud data architectures.
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure)Ability to interact at all levels of the client organization, build consensus and foster changeAbility to work independently, manage small engagements or parts of larger engagementsExperience with pre-sales, proposals and RFP activitiesSuperior critical thinking, analytical and problem-solving skillsWillingness to mentor and counsel junior staff.
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The Department of Homeland Security (DHS) is recruiting professionals to support a range of developmental roles in Cybersecurity Data Science, including Data Scientist, Artificial Intelligence (AI) Specialist, AI Operationalization Analyst, Data Modeler, Data Security Analyst and Operations Research Analyst.
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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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At Astera Labs, we are looking for motivated Post-Silicon Validation Engineers to work on our game-changing portfolio of connectivity products for Artificial Intelligence and Machine Learning applications.
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Apply knowledge of statistics and mathematical theory to develop and integrate new and emerging technologies, such as machine learning and deep learning concepts and techniques. Analyzing and defining data requirements and specifications using various tools and methodologies (e.g., Statistical Package for Social Sciences [SPSS], Statistical Analysis System [SAS], R Analytics, Statistics and Data [STATA]) to discover new patterns and behaviors providing DHS Headquarters (HQ) and/or Component stakeholders actionable recommendations.
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Using various tools (e.g., SPSS, SAS, R, STATA) and methodologies for analyzing and interpreting complex data to discover new patterns and behaviors and provide usable information to decision makers and other users.
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Using data visualization tools (e.g., R, Tableau, Flare, Google Visualization Application Programming Interface [API], RGIS) to design charts and exhibit graphic representations for the purposes of providing actionable recommendations to critical leadership officials and stakeholders.
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Design, build, implement, integrate, and maintain systems and tools for data trend and pattern analysis of cyber data. Building and applying an understanding of cybersecurity data management to develop data standards, policies, and procedures facilitating and implementing data mining and data warehousing programs to collect, clean, convert and standardize complex data for analysis.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Experience applying data science techniques, including time series, supervised learning (e.g., regression analysis, classification analysis, univariate models, multi-variate models), and/or unsupervised learning (e.g., clustering, association, dimensionality reduction), to Finance use cases such as forecasting and predictive analytics.
$125,000 - $255,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience interacting and communicating with both business-oriented and IT-oriented clients. Skilled in Prompt Engineering and AI chatbot/user facing applications with features such as search, translation, and summarization.
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We are passionate about incorporating the latest technologies in computer vision, image processing, computational photography, machine learning and artificial intelligence into today's most advanced products: smartphones, tablets, PCs, and greatly improve the consumer experiences.
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Python, Shell Scripting, Linux-based operating systems, Machine learning and image processing applicationsThe essential requirements of the job include: Master’s degree in electrical/computer/biomedical engineering.
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HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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machine learning artificial intelligence detail oriented jobs Title: engineering manager
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