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Understanding of Master data management, data visualization and story building, data science and machine learning is highly preferred. WHAT YOU WILL CONTRIBUTEThe Data and Analytics Director is accountable for the strategic governance and management of the North America Data and Analytics team.
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The candidate will possess expertise in various modeling languages such as Python, R, and Prophet, and you will have experience applying Machine Learning and Artificial Intelligence to large data sets.
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics. This is a full-time Image Data Engineer position in Cleveland, OH, with potential flexibility for remote work.
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Our transformative solutions are powered by artificial intelligence, machine learning, facial recognition, cloud solutions and Big Data analytics. Our transformative solutions are powered by artificial intelligence, machine learning, learn from new insights, and seize new opportunities.
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The ideal candidate will have a strong background in artificial intelligence, machine learning, and data analytics. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn.
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Strong background in machine learning, statistical modeling, and data mining. 3-5 years of experience in applying deep learning methods to text data, including natural language processing, text classification, sentiment analysis, or other related applications.
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Amazon Web Services (AWS) is looking for a world class partner leader to drive enterprise digital transformation initiatives with strategic technology partners in the Artificial Intelligence/Machine Learning Sector.
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Experience in application of data science and machine learning concepts to neuroscientific data. Applies advanced machine learning algorithms to analyze and interpret electrophysiological data from the brain.
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Proficiency in data analytics and machine learning techniques, with hands-on experience in developing and implementing predictive maintenance and optimization solutions including relevant certifications in AI or related fields (e.g., AWS Certified Machine Learning Specialty, Google Cloud AI/ML certifications) are desirable.
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Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc. Familiarity with advanced machine learning architectures GANs, GRU, LSTMs, RNNs, CNNs, style transfer.
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This includes segmenting audiences with precision and tailoring communications to individual customer needs, driving engagement, and revenue growth for SMBs. Building on Intuit’s decade-long investment in AI, Mailchimp seeks to integrate advanced AI and machine learning algorithms into its platform.
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Skills: Cloud Engineering, azure, solution architecture, solutions architecture, data architecture, healthcare data, Data, Data lakes, Modern Data Foundations, Machine learning Top Skills Details: Cloud Engineering, azure, solution architecture, solutions architecture, data architecture, healthcare data, Data Experience Level: Expert Level About TEKsystems: We're partners in transformation.
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We are looking for a Senior Data Scientist, ideally with a background in demand forecasting and time-series, to join our Data Science team within our Data and Analytics CoE. As a data scientist within the CoE, your mission will be to develop world-class AI, data science, machine learning, and related solutions to solve for our biggest challenges.
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Experience in partnering with technical and cross-functional teams to deploy machine learning models in production using Azure ML and Databricks. Build and maintain reliable, automated, and scalable ETL pipelines on Azure data platforms, supporting critical business functions and analytics, with a strong focus on Azure Databricks and Azure Onelake.
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Seeks out opportunities for process improvement leveraging Machine Learning technologies and serves as an operational and business subject matter expert to data scientist colleagues.
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