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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Previous experience in a technical role such as a data scientist, solutions architect, machine learning engineer, AI consultant, etc. As the Program Manager, you will own the direction of program initiatives and work with both the technical and business development teams on the execution and delivery of AI and machine learning (ML) projects.
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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.
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It’s the only cloud service that combines transactions, real-time analytics across data warehouses and data lakes, and machine learning in one MySQL Database—without the complexity, latency, risks, and cost of ETL redundancy.
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Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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They use Azure services such as IoT, AI, and machine learning to develop solutions that enable customers to optimize their energy usage, reduce their carbon footprint, and improve operational efficiency.
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Use Data Science, Machine Learning, Artificial Intelligence, and Operational Research techniques to develop data models. Knowledge of statistical and machine learning algorithms.
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It's mission is to automate package quality decisions using computer vision and machine learning models combined with the data inflow from hardware sensors for Amazon Customer Fulfillment.
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Be responsible for using analytical techniques like Machine learning, Natural Language Processing, and advanced data visualizations to improve Asurion’s customers’ experiences. Design large scale models using techniques such as Logistic Regression, Decision Trees, Spatial models, Time-series models, and Machine Learning algorithms.
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Minimum of 2 years of experience designing and building machine learning models. In this role, you will design and build machine learning models that drive strategic decision-making and enhance customer experience.
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As an EY IT Manager, you will engage in discussions on the development of discuss new innovative software applications including areas such as software architecture design, Artificial Intelligence (AI) and Machine Learning (ML), cybersecurity, Blockchain and Distributed Systems, telecommunication, cloud computing and virtualization, data science and big data, and other high-tech fields with a host of industry leaders.
$188,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Practical applications of machine learning techniques such as clustering, logistic regression, CART, random forests, SVM, or neural networks. · GenAI / AI / Machine Learning: Working experience and knowledge of the principles, technologies, and algorithms of GenAI, AI, and machine learning; ability to develop, implement, and deliver related systems, products, and services.
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Lirio is a technology/software company that provides expertise in a variety of behavioral science domains (e.g., behavioral economics, social psychology, public health), data science, and machine learning to drive consumer engagement, close gaps in preventive and chronic care, and promote health and well-being across an individual's lifespan.
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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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Developing predictive models on large-scale datasets to address various business problems through demonstrating advanced statistical modeling, machine learning, or data mining techniques.
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