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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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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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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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Our team develops and maintains recommendation and personalization algorithms for Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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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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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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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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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, Machine Learning engineers for full time positions with clients.
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Candidate knowledge of Canvas, Zoom, non-linear video editing software, and audio editing software is required, as well as knowledge of emerging technologies as related to teaching and learning.
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CRM (Email Marketing, SMS marketing) and proficiency with Shopify, Google Analytics, Looker and other analytics. Direct the email and SMS marketing programs, focusing on deepening customer engagement and driving revenue through optimized content and personalize communication strategies.
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We offer best-in-class digital & broadcast enterprise solutions including Audience Targeted Programmatic Display, Social Paid & Earned Marketing, Content Marketing Integration, our Owned & Operated websites & Apps, Integrated Sponsorships, SEM, SEO, SMM, Email Marketing, Episodic & Premium Video (OTT / CTV / ATV, Pre-roll, In-Stream, Live Stream, Mobile, App, etc.
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The manager serves as a technical resource in activating brand development, marketing concepts & packaging design solutions that are aligned to business priorities, on strategy and within budget, resulting in brand continuity, design efficiency and speed to market.
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The job: Provide customers with maintenance, repair, and installation assistance for CNC machine tools on-site or by tele. They hope to find experience in electrical and mechanical troubleshooting and maintenance of CNC machine tools.
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Freelancing and Consulting — social media marketing, graphic design, and more. Reselling and Thrifting — including eBay, Etsy, Mercari, Poshmark, and others. Content Creator — YouTube, TikTok, or Instagram.
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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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marketing machine learning jobs Company: Us Bank in Dallas, TX
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