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Qualified candidates are deeply analytical with a keen understanding of artificial intelligence, machine learning, and data science. As a Senior Data Scientist, Supply Chain, you'll bring your knowledge and proven data science expertise to conduct research in machine learning-based solutions that improve our products and help our customers.
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Machine Learning/AI: Previous research experience with Deep Learning, NLP, LLM, Graph Neural Networks, Reinforcement Learning. The Research Intern will work with a team to conduct world-class research on data driven AI/ML initiatives and contribute to the long-term research agenda in large-scale data analytics and machine learning, as well as deliver innovative technologies and insights to Visa's strategic products and business.
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Experience in machine learning NLP Data Science. Experience with web development frameworks e.g. Django Flask Fastapi. Familiarity with cloud platforms e.g. AWS Azure Google Cloud and containerization e.g. Docker Kubernetes.
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Knowledge of predictive modeling techniques and machine learning algorithms. Preferred Qualifications: •Experience with data visualization tools such as Tableau, Power BI, or QlikView. Familiarity with healthcare data standards and regulations such as HIPAA, HL7, and Meaningful Use. •Experience with healthcare databases and data warehousing concepts (, SQL Server, Oracle, Hadoop.
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Manage and perform advanced analytics using predictive modeling, machine learning, simulation, and other methods to provide insights or embedded models. Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn.
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During the first year, new HSAG analysts are provided formal internal training in statistics, machine learning, clinical epidemiology, SAS, Tableau, healthcare data, and an assortment of healthcare-related topics.
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About the team As a member of the Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers. Strong knowledge in electrical engineering fundamentals, power & signal integrity, and analog/digital circuits and able to drive component selection and validation of electrical, mechanical components, cables.
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Experience in machine learning, artificial intelligence, natural language processing, contact center AI, or pattern recognition. Experience in a programming language (e.g., R, Java or Python) and applied machine learning techniques (e.g., dimensionality reduction strategies, classification, natural language processing frameworks.
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With tech innovation an integral part of our core business, the booming city proved an ideal backdrop for our heavy investment into machine learning, research infrastructure and big data computing.
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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, Machine Learning engineers for full time positions with clients.
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Qualifications: + years of experience with AI, machine learning, or natural language processing. Keep up-to-date with the latest advancements in AI and machine learning within the HCM and Payroll domains.
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Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
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This role will be responsible for strategic planning of Machine Learning initiatives with the Product, Engineering, Performance and Business Intelligence teams, analysis of potential impact and prioritization of those projects.
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In this position, you will research and develop techniques to GPU-accelerate high-performance workloads in the finance domain - primarily focusing on Deep Learning, Machine Learning and Data Analytics applications.
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Deep knowledge in machine learning, deep learning, and neural network design, optimization, and compression techniques. The mission of Central Technology - Machine Learning (CT-ML) is to create technology to enable all ML Compute on ARM. We believe that advancing innovative machine learning (ML) technology requires a collaborative approach across hardware, software, and algorithms.
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