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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. 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 want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Requires three (3) years of experience in: (1) data analysis with Python and Python machine learning packages; (2) creating analytics tools to visualize KPIs in relation to equipment and process engineering; (3) MS Excel Macros and Pivot tables; (4) SQL, Tableau, and Spotfire; (5) knowledge of semiconductor process.
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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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Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
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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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Required QualificationsPhD in Electrical Engineering, Computer Engineering, Aerospace Engineering, Computer Science, Math, Physics, or related disciplineDemonstrated record of authoring peer-reviewed scientific publicationsDemonstrated record of presenting scientific content to technical and non-technical audiencesApplicant must have a dynamic skill set, willing to work with new technologies, be highly organized and capable of planning and coordinating multiple tasks and managing their time.
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This position requires:A bachelor’s degree in computer science, business or equivalent experience and eight or more years of experience as a data engineer, with strong proficiency Databricks, and Azure Data Factory.
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THE PERSON: A computational scientist, physicist, or engineer with experience in multiple scientific computing domains and experience with using Machine Learning techniques in an HPC setting.
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
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Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types.
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Preferred Qualifications: Certificate or graduate work in educational technology, instructional design, or learning science is a plus. We encourage individuals with high school teaching experience, 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, primarily in high school AP® and elective courses.
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Further training may be received at a “C” School that provides learning in advanced maintenance, TLAM (Tomahawk® Land-Attack Missile) Strike and both computer and computer language skills, including maintenance, operations and security of systems operated and maintained.
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Deliver End to End Data Pipelines to run Machine Learning Models in a production platform. Teammate with excellent communication/teamwork skills when it comes to closely working with data scientists and machine learning engineers daily.
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PhD in Electrical Engineering, Computer Engineering, Aerospace Engineering, Computer Science, Math, Physics, or related discipline. We are seeking a Research Associate to provide electrical and/or computer engineering expertise and scientific rigor across a portfolio of technologies germane to interests of SGL listed above in order to effect improvements to these interests and advance the state-of-the-art in these areas.
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computer science machine learning jobs Title: manager in Austin, Lawrence, New Jersey
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