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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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We encourage individuals with academic teaching experience (high school or higher education), ed-tech experience from start-ups to larger organizations, and those with direct experience in educational publishing to apply, among others whose creativity and/or expertise will lead to success in working with a team to develop teaching and learning strategies for digital learning with an initial focus on AI-supported pedagogical tools.
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What you’ll bring to Circle: 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Machine learning libraries: TensorFlow, PyTorch, Scikit-learn , Deploying and optimizing different pipelines that support various data science processes. We are looking for candidate who can work without any sponsorship #W2 Machine Learning Engineer with 7+ years of experience in designing, building, and maintaining machine learning models and pipelines.
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A single two-year allied health education program that is patient-care related OR Graduate of a program accredited by an agency recognized by the Council for Higher Education Accreditation (CHEA), United States Department of Education (USDOE) or Canadian Medical Association (CMA), that specifically conducts programmatic accreditation for diagnostic medical sonography/diagnostic cardiac sonography/vascular technology.
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Required QualificationsMaster’s degree in Educational Psychology, Higher Education Administration, Educational Leadership, Marketing/Communication, or related field and five years of progressively responsible relevant experience in assessment, marketing, and outreach, including at least (2) two years of supervisory experience.
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The right candidate will have construction management internship experience on large and/or small projects and varying asset classes including, but not limited to, Higher Education, Retail, Multi-family, Hospitality, Healthcare, Restaurant, Transportation, Water and Waste Treatment, Self-Storage, Senior Living, Convention Centers, Laboratories, Correctional, etc.
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15 or more years of experience with a Bachelor's Degree or 12 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, or MD), PhD with 9+ years of experience in computer science, computer engineering, mathematics, or equivalent field with a focus on artificial intelligence/machine learning.
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We promote student success and community development by providing affordable access, through traditional and distance learning modes, to higher education and workforce training, including appropriate applied baccalaureate degrees, in our service area.
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As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock, and other machine learning technologies, with a focus on Generative AI and open-source AI frameworks.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Top Texas Law Firm is currently hiring highly motivated Litigation Associate Attorneys with anannual salary of $120,000, plus a guaranteed commission after achieving performance goal. LITIGATION ASSOCIATE ATTORNEY $120,000 Plus Commission with Sign-On Bonus (Up to $25,000 for qualified applicants)LITIGATION ASSOCIATE ATTORNEY salary $120,000 plus guaranteed commission after achieving performance goal.
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Harness the power of transformer architecture, a cutting-edge deep learning model widely employed in natural language processing and computer vision, to optimize the language model's performance and efficiency.
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Experience with TCL is a plus Knowledge in the digital design flows Strong communication skills, teamwork experience and a quick learner in a fast-moving environment PREFERRED ACADEMIC CREDENTIALS: Computer Architecture work experience PhD/MS in Electrical Engineering plus relevant experience.
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VNA helps commercial, industrial, healthcare, higher education, and municipality customers throughout North America. Demonstrate a commitment to learning and development; stay current of safe work practices, policies and regulations.
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a plus machine learning higher education jobs in Austin, TX
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