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We are looking for a Machine Learning Engineer who can bring bleeding edge machine learning and optimization models into production together with a highly multi-disciplinary team of data scientist, software development engineers, strategic partners, product managers and subject domain experts.
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We are supporting a client in the Risk and Insurance industry in the search for a driven Machine Learning Engineer to help us bring software development rigor to the ML life-cycle within the business insurance industry.
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The Role As a Machine Learning Engineer you will research, develop, and support the machine learning models that allow our devices to decode evidence like a detective and define how non-violent crime is eliminated.
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The Postdoctoral Fellow will help design and conduct research in AI & machine learning for medicine while receiving advanced training from a designated Principal Investigator to enhance professional skills and research independence needed for pursuit of an Academic career.
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Contribute to the firm's success by providing expert legal counsel in patent matters, particularly in software, e-commerce, artificial intelligence, and machine learning. Technical knowledge of artificial intelligence and machine learning is highly desirable.
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Under the general direction of the After-School Program Director, the Academic Learning Specialist is responsible for leading and providing individual or small group academic support during Afterschool program.
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The ISR Division's projects focus on advanced signal processing, adaptive sensor technologies, advanced algorithms, machine learning, and modeling and simulation for applications that include airborne radar, electronic warfare, and undersea systems.
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Develop and publish relevant bioinformatics methodologies, pipelines, and algorithms, and stay abreast of the latest advancements in bioinformatics, machine learning, and oncology research.
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In HBM DEG (High Bandwidth Memory - DRAM Engineering Group), we innovate and integrate end-to-end groundbreaking front-end and backend processes with groundbreaking design, debugging various tests, and qualification techniques to develop the lowest power per bit solutions to improve customer experience in the field of ML (Machine Learning) and AI (Artificial Intelligence.
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This team focuses on implementing all aspects of data analytics and data science, including data querying, visualization, predictive analytics, machine learning, artificial intelligence, and robotic process automation (RPA.
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They are key players in several cross-disciplinary institutes, centers, and programs at Georgia Tech, including PhD programs in Algorithms, Combinatorics, and Optimization (ACO), Computational Science and Engineering (CSE), Bioinformatics, Quantitative Bioscience (QBioS), and Machine Learning (ML@GT.
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Expertise in Machine Learning frameworks like Python, Scikit-learn, PyTorch, TensorFlow Apache Spark. Leverage expertise in Snowflake's Data Cloud and Machine Learning, and the latest advancements like Generative AI to build POCs and prototypes that demonstrate value to prospective clients.
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Data Analysis, Databricks Platform, Data Science, Machine Learning, Technical Solutions. Experience with designing and executing machine learning models and applications. These include but not limited to Python/Pyspark, SAS, CDC cloud environments (Databricks, SAS Viya, Azure Dev Ops etc.
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We are looking to hire a staff machine learning engineer to join our RVO Health data science team. Research the state of the art of machine learning, AI, statistical modeling and optimization technologies, and their applications in digital marketing, digital media and e-commerce.
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Undergraduate degree is required; advanced degree in a quantitative discipline such as computer science (especially machine learning), applied mathematics, economics, quantitative finance or engineering is preferred or equivalent practitioner experience.
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machine learning jobs Title: expert Company: Apple Inc in Atlanta, GA
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