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2+ years of hands-on experience with machine learning tools and libraries (scikit-learn, TensorFlow/Keras, PyTorch, Huggingface, AWS Sagemaker and/or Databricks etc.) Published research or Patents in machine learning, system design or data engineering.
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As a Data Scientist in our Decision Sciences R&D organization, you will be responsible for researching and building optimization, control theory, simulation, and machine learning applications to extend Epsilon Digital’s ad personalization platform.
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Demonstrating a strong foundation in machine learning and deep learning techniques. You will also be expected to stay up-to-date with the latest advancements in AI and machine learning, and apply this knowledge to the continuous improvement and reengineering of our systems.
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As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions.
$336,900 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Machine learning techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, etc. Experience in Big Data platforms and related technologies such as Hadoop, Hive, Pig, Apache Spark, Teradata etc.
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In-depth knowledge of machine learning, deep learning, and generative AI techniques. Minimum 5 years of experience in Data Science and Machine Learning. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow, PyTorch or Keras.
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Provide DevOps SDLC and Operations support for greenfield and existing Machine Learning related systems and platforms to help serve client's internal data science teams across on-prem, private cloud, and public cloud systems.
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Conduct research and analysis in AI, Machine Learning, GenAI, Data Science and Analytics. Specific areas of focus will include those topics critical to Data and Analytics Leaders such as Best Practices, AI Ready data, Strategy, Technologies, Market trends and Vendors/Vendor solutions.
$224,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Join Analytics & Behavior Change to make a meaningful difference to our communities through data and analytics and help CVS Health change the landscape of the health care industry This position lies within the Enterprise Data & Machine Learning team.
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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: Extensive 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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Present to client CIO the full company portfolio of RCM and Technology services including Artificial Intelligence (AI), Machine Learning (ML), Automation, EMR-on-the-Cloud, Big Data Security, Data Analytics, IT Infrastructure and Modernization to explore large enterprise deals.
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This position will be responsible for building scalable, high performance infrastructure and data driven predictive analytics applications using automation, artificial intelligence (AI) and machine learning (ML) models to provide actionable recommendations and insights.
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Azure PaaS (App Service, API Management, Functions, Logic Apps, Table Storage, Redis Cache, Azure AD, Notification Hubs, IoT and Event Hub, Stream Analytics, Cognitive Services, Machine Learning, Service Bus, Queues, Search, Application Insights, CDN.
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How you'll make an impact:As a Senior ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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Certifications such as Certified Information Systems Security Professional (CISSP), Certified Data Privacy Solutions Engineer (CDPSE), GIAC Machine Learning Engineer (GMLE) are highly desirable.
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machine learning jobs in Irving, Peoria, Arizona
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