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5+ years working in IT with a thorough understanding of SDLC and Agile development methodology 5+ years of experience in Business Intelligence and Data Science (data mining, Machine Learning, PLS, PCA), Data architect, data engineering and Big Data 3+ years of experience as BI reporting and visualization engineer, Business Objects and Tableau Administration Proficient with one or more programming languages (SQL, Java, C.
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Experience with machine learning and artificial intelligence applications in control systems. While AI and HPC data center workloads, and industrial processes like green hydrogen electrolysis and ammonia production drive immense demand for energy, the current grid simply cannot support the growth, and cannot do it with clean energy at scale.
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Intermediate-level knowledge of statistical and data mining techniques Expert proficiency with visualization tools like Spotfire, Tableau or equivalent Experience working in Cloud Computing environments (e.g., AWS, Azure, etc) is preferred Experience with Hadoop platforms and related “big data” technologies is preferred Proven expertise with Machine Learning and other advanced analytics techniques Demonstrated effective communication skills.
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We are looking for a versatile, all-rounder with a background and interest in Embedded Systems, Machine Learning and Data Engineering to help design and build Convolutional Neural Networks for Smart Sensors, help design, debug, and troubleshoot firmware for automotive IOT devices and help out with data engineering tasks, like data workflow, gathering and analysis.
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Python, Shell Scripting, Linux-based operating systems, Machine learning and image processing applications. 5+ Years of experience in developing in Python for Machine Learning and Computer Vision applications developing in C/C.
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This leader will guide the application of data science and machine learning methods, have an eye and passion for data quality, and the ability to connect analytics to business impact.
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The key technology domains we are currently focused on include business process automation, data curation, industrialized analytics, machine learning & AI and scalable delivery platform.
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Research methods can range across math programming, game theory, stochastic modeling, reinforcement learning, machine learning, decision analysis, empirical methods, behavioral or field experiments, and other related methods.
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As the Advanced Analytics Lead, you will establish the data analytics and AI roadmaps for the product team and implement projects in data analytics, data science, AI (e.g., machine learning and Generative AI), and product insights.
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Data Science & Machine Learning Frameworks. Python (for preprocessing, data analysis, machine learning, scripting) TensorFlow, PyTorch, Keras (for deep learning and complex machine learning, including neural networks and advanced AI.
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Join the US AWS Global Sales organization as a Generative AI and Machine Learning Specialist Seller! Do you have the business savvy, Artificial Intelligence and Machine Learning background, and sales skills necessary to help companies transform their industries by positioning Amazon Web Services (AWS) as the Generative AI service provider of choice.
$212,600 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Knowledge of data analytics and machine learning. Understanding of UX/UI design principles. Software Development Engineering Manager Job Description: We are looking for a seasoned Manager of Software Development Engineering with expertise in both software engineering and product management.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
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The Sr. Lead, Internal Audit Data Scientist will use advanced analytics, machine learning, and data visualization techniques to address some of Rivian’s most significant and most complex risks.
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Drives Analytics innovation and experimentation to enable data-driven insights for complex business problems across R&D by deploying advanced analytics techniques like Machine Learning and Visual Analytics.
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machine learning data jobs in Irvine, CA
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