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CUDA, Bash, and/or SQL), machine learning / deep learning methods, data analytics, and medical image analysis. Preferred Experience: Experience with common open-source scientific computing/machine learning libraries (e.g., PyTorch / TensorFlow), containerization, and cloud-native technologies (Docker & Kubernetes) is preferred.
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Having experience with productizing machine learning models within a cloud service (e.g., AWS, Azure, GCP) and data science environments (e.g., Databricks) is a plus. You have 2-5 years of successful technical experience in the domain of predictive analytics (e.g. data science, machine learning, data mining, and statistics related work); preferably in the Oil & Gas industry.
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We have created software to help college students in three of those subjects read with more engagement and practice more effectively, incorporating our research team’s expertise in cognitive science and machine learning.
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Participate in the design of pathology/biological/sequencing experiment to generate high quality data for machine learning. Develop and maintain computational methods using deep learning for pathological image processing.
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AI and Machine Learning, Azure Blobs, Office 365, Dynamic 365, Logic apps, Power apps, MS Flow, Power BI, Sharepoint o GitHub DevOps, CI/CD, workflows, actions and Ansible automations Skills Required : o Cloud solutions, design, architecture and security o Evaluating hardware.
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The primary purpose of the Associate Data Scientist position is to assist researching and assisting researchers in creating high impact imaging and pathology machine learning algorithms for the Tumor Measurements Initiative (TMI.
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Develop robust, scalable data processing and machine learning pipelines across Databricks, AWS, and Azure. Develop and refine advanced AI and machine learning models, with a focus on natural language processing, using RAG and LangChain models.
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Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
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A minimum of 6 years of experience in designing and implementing complex AI and ML solutions, as a Senior Data scientist, Machine Learning Engineer, or AI Engineer. Expertise in machine learning frameworks, including TensorFlow or PyTorch, and the ability to leverage them for custom solutions.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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Evaluate and recommend AI technologies, focusing on OCR, NLP, LLM and machine learning. Expertise in OCR, NLP, LLM and other machine learning techniques. BigRio is a Digital Transformation consulting firm headquartered in Boston, MA, specializing in data and analytics, custom development, software implementation, data analytics, and machine learning/AI integrations.
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The Workplace Investing Data Engineering and Exchange AI Delivery Chapter team is looking for a Senior Machine Learning Engineer to join our team to help deliver customer facing AI models into production.
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Should have worked on at least one project which had an application of Artificial Intelligence, Automation, Machine Learning, Blockchain or Predictive Analytics. Worked on at least two end to end implementation program of an ETRM product – Endur, Allegro, RightAngle, Commodity XL, Eka Solutions, etc.
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Our digital ecosystem combines the power of technology to create beautiful smiles through the integration of AI and machine learning, digital imaging and visualization, biomechanics and material science to develop the Invisalign system, the most advanced clear aligner system in the world; iTero Intraoral Scanners andOrthoCADdigital services.
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Exhibit a solid understanding of Datacenter hardware and software trends and solutions, including Virtualization/Software-Defined Data Center, Containers/Function-as-a-Service, Big Data Analytics, Database, Application Middleware, HPC, Machine Learning, Security, Storage and Networking as well as general Enterprise IT/applications knowledge.
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machine learning jobs in Houston, TX
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