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Course topics range from computer hardware design and embedded systems to software design and construction of real-time systems, virtual systems, enterprise software, artificial intelligence, and machine learning, robotics, and data mining.
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Experience in assessing and implementing new data tools to enhance the machine learning stack. We are a growing subsidiary of a large public company that is hiring a talented Senior Machine Learning Engineer.
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Experience with solving and using machine learning for real-world problems involving scientific/engineering simulations (domains/applications - industrial, life sciences, high energy physics, earth sciences – seismic, weather & climate modeling; physics types - CFD, structural, electromagnetics, optics, acoustics etc.
$339,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Solving business problems using data analysis/mining and machine learning techniques. The team As a Data Scientist & Machine Learning Engineer, you will work closely with cross-functional teams and other Hitachi group companies to develop and implement data-driven solutions that drive strategic decision-making and deliver large-scale digital transformation for our clients.
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Responsibilities:- Carry out interdisciplinary research in quantum computational chemistry (such as Post Hartree-Fock method, quantum embedding method) and machine learning(such as Neural Network QMC);- Perform theoretical analysis on machine-learning-based quantum chemical models;- Conduct large-scale quantum chemical simulations (such as MPI, GPU acceleration) and verify the correctness and practicability of proposed models.
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Brief Description of Duties Lecturers are expected to teach their courses effectively, to work with the department Assessment Coordinator to assess course and program learning outcomes, to maintain appropriate office hours in accordance with University Policy, and to cooperate with the department in the peer-review process.
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The Mercedes-Benz Data and AI team is seeking a hands-on machine learning expert for research, design, and development of cutting-edge technology applied in projects that will shape the future of Mercedes-Benz vehicles with the goal of enhancing our customer’s experience.
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2+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing, model containerization, CI/CD pipelines, API development, model training and productionizing ML models.
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6+ years of experience with software development in one or more programming languages, machine learning algorithms and tools (e.g., PyTorch), artificial intelligence, deep learning and/or natural language processing.
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Collaborate with cross-functional teams, including product, engineering, and data science, to integrate machine learning solutions into existing systems and processes. As a Financial Crime Data Scientist, you will play a crucial role in leveraging machine learning, analytics and visualization techniques to enhance our organization's capabilities in detecting and preventing financial crimes.
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Data Management: Proven experience in designing and managing sophisticated data pipelines and machine learning deployment architectures. As a Senior Machine Learning Engineer at CARIAD, Inc.'s SDV Hub, you will play a pivotal role in shaping the future of the automotive industry by developing innovative Generative AI and Machine Learning applications for software-defined vehicles.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. We are looking to hire a Boards and Modules Test Engineering Manager who will work in Test Solutions Group at NVIDIA developing manufacturing test solutions for board and modules products.
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Javascript, WebDevelopment FrameWorks like Reach, Svelte , Jenkins / Spinnaker, Artifactory, RESTful APIs, Elasticsearch, building machine learning systems is a plus. Work with technology and product teams to develop analysis tools and machine learning models.
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machine learning data mining engineering jobs Title: engineer data in Santa Clara, CA
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