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Familiarity with latest analytical tools and dashboarding technologies, data warehousing, software, process, and applications (e.g., SQL, Tableau, AWS, Python, Machine Learning, Predictive Analytics, etc.
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Open source, gps, hardware, circuit boards, edtech, Sensors, iot, automation, bluetooth, ai, machine learning, wifi, arduino, python, micropython, prototyping, R&D, raspberry pi, micro:bit, and lidar.
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Databricks Data Engineer Professional and Databricks Machine Learning Professional certifications a plus. Experience developing Machine Learning models or ML Ops processes a plus.
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Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. As we continue growing our business, we are looking for an Accounting Manager who is passionate about solving interesting problems to come and join our team and help scale our business.
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We are looking for an experienced and passionate MLOps Lead Engineer to join our team and lead the deployment and management of our machine learning solutions for a non-prime lender. Proficient in Python, and familiar with common machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn.
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Google Cloud High Performance Computing (HPC) Machine Learning (ML) Networking is responsible for innovations and optimizations of the networking stack to make Machine Learning High Performance Computing (HPC) workload performant on Google Cloud Platform (GCP) and in Google production.
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Responsibilities Lead the team in boosting networking performance for Machine Learning and HPC applications in Google Cloud and production. Experience with Networking Protocols, Linux, Machine Learning Infrastructure, and High Performance Computing (HPC.
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And we’re pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. The Systems Engineering Manager collaborates with a world class team of cross-functional engineers, product marketing, and other key stakeholders in utilizing Systems Engineering approaches to enable efficient development of innovative electric power tool and equipment systems.
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Work closely with serial entrepreneurs and strong leaders who have scaled companies like Amazon, Alibaba, Robinhood, Sofi, Microsoft, etc. You will be working closely with a stellar and tight knit team that has decades of combined financial experience in investment banking, hedge fund management, M&A, FP&A, Controllership and Big 4 Audit.
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Preferred/Additional Qualifications:Experience in Responsible AI or Digital Safety or SecurityExperience with Generative AI.Deep understanding of Natural Language Understanding/Natural Language Processing/Natural Language Generation (NLU/NLP/NLG) and language models Master’s degree or PhD in Machine Learning, NLP, Computational Linguistics or Ethical AI.Product Management IC5 - The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 per year.
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The postdoctoral researcher will create machine learning models that incorporate multi-modal data streams to help inform process control for solvent extraction processes, acoustic data collection and other nonproliferation projects.
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Experience with machine learning technology, such as: big data stack, Java, Python, R, Scala and visualization techniques, including Dash, Tableau and Angular. Expertise in machine learning technology, such as: big data stack, Java, Python, R, Scala and visualization techniques, including Dash, Tableau and Angular.
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In Support Product we build highly available and scalable, Machine Learning driven products that integrate with the broader Cash App ecosystem to help customers solve their problems. The team currently consists of server engineers, designers, and product management, machine learning modelers and applied machine learning engineers located in Australia and the United States.
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We deploy advanced technology, including molecular discovery, synthetic biology, artificial intelligence, machine learning, and computer vision to develop exceptional products and deliver consumers a superior experience.
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From driving the overall clinical research and patient-centric innovation strategy to delivering new digital and machine learning capabilities. As a Principal Product Manager, you will help the Command Center product develop business cases for new product ideas, leading R&D efforts.
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