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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
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Description :Lead a highly motivated hybrid-remote team tackling diverse AI projects ranging from traditional machine learning to cutting-edge imagery and LLM. Take ownership over your work, embrace continuous learning, and above all, find joy in what you do.
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Job Description: Lead a highly motivated hybrid-remote team tackling diverse AI projects ranging from traditional machine learning to cutting-edge imagery and LLM. Take ownership over your work, embrace continuous learning, and above all, find joy in what you do.
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Minimum of ten years of experience with pattern recognition, machine learning, linguistics, utterance classification, and signal processing knowledge. Omni-Channel, Chatbot, and/or Conversational IVR experience.
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Working under general direction of the Principal Investigator, this position provides analysis and develops and evaluates natural language processing and machine learning algorithms to leverage electronic health record data to support clinical care and research in the neuroscience.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Understanding of machine learning and natural language processing techniques; Source and transform data into the knowledge graph in a scalable and efficient manner using open-source or commercially available etl solutions (e.g., Informatica, BigQuery, AbInitio, Azure Data Factory, etc.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Experience applying data science techniques, including time series, supervised learning (e.g., regression analysis, classification analysis, univariate models, multi-variate models), and/or unsupervised learning (e.g., clustering, association, dimensionality reduction), to Finance use cases such as forecasting and predictive analytics.
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Design, develop, and implement automation and robotics solutions, including but not limited to robotic process automation (RPA), machine learning, artificial intelligence, and other advanced technologies.
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A thorough familiarity with Machine Learning or Generative AI methodologies, leveraging platforms like Microsoft’s Semantic Kernel, Google’s Vertex AI, or the Open AI API. Proficiency in utilizing front-end and back-end development tools and libraries such as React, Angular.
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Strong background in deep learning and machine learning. SUMMARY Sony AI’s Privacy Preserving Machine Learning (PPML) team is looking for smart and talented researcher interns with expertise in deep generative models and privacy-preserving machine learning techniques.
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Extensive experience in developing and implementing AI algorithms and models, leveraging machine learning techniques such as deep learning, natural language processing. Experience in leveraging continuous integration and robust build/test automation, with a preference for cross platform stacks and containerization (Azure DevOps, GitHub Actions, JFrog Artifactory.
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Having exposure to a range of statistical and analytical techniques such as: Natural language processing, machine learning, conceptual modelling, algorithms, statistical analysis, predictive modeling and hypothesis testing.
$256,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Hands-on experience with AI technologies, such as machine learning, natural language processing, and computer vision, applied to software testing. ·Mentorship: Provide guidance and mentorship to junior test engineers, fostering a culture of continuous learning and innovation.
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Implement advanced machine learning algorithms into practical, scalable applications that are integrated into broader systems. Proven experience in integrating machine learning models into scalable production environments.
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machine learning jobs in Dallas, Laramie, Wyoming
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