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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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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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The team leverages its experience in the fields of signal processing, computer vision, computational linguistics, machine learning, artificial intelligence, communication systems, and other areas of electrical engineering and computer science to create impactful solutions.
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Specialized knowledge of and proficiency with various software products used in building media and learning assets, including but not limited to: HTML/CSS, Javascript, Screenflow, Premiere, Final Cut Pro, Motion, Photoshop, Illustrator, Hype, audio recording and editing software, emerging AI tools, and others.
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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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Collaborate with the Director of Diversity, Equity, & Inclusion to keep multiculturalism and diversity as a priority of curricular work and curriculum development Ensure that respect for diversity, equity, and inclusion, social emotional learning, and academic excellence are emphasized as core values of The Park School.
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Our specially selected team of engineers, software developers and scientists develop algorithms, software integrated prototypes and solutions for Artificial Intelligence, Machine Learning, Manned and Unmanned Aerial Vehicles, Mission Planning, and Situational Awareness.
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Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training. Strong working knowledge of deep learning, machine learning and statistics.
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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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Experience developing/applying computational biology and machine learning tools. A Bachelor’s degree is required in biomedical engineering, data science, or related field.
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Develop, test, deploy and maintain machine learning system software. Run machine learning tests. Proficient in Deep Learning: CV models, other data models (TensorFlow, Ansile.
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The Person: *Experience Python *Understanding of machine learning tools *Geospatial or remote sensing experience/ knowledge *US citizen The Role: *Help build Google Cloud Platform data processing pipelines *Apply machine learning, image processing & statistics to problem solving *Work closely with senior scientists and engineers on specialist projects.
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As a Software Development Manager for the AEC Solutions group, you will lead your team to build data pipelines to power our work in artificial intelligence, deep learning, generative AI, machine learning, reinforcement learning, information retrieval, and natural language processing.
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Proficient in emerging technologies such as deep reinforcement learning, imitation learning, computer vision, and natural language processing, with a focus on their application in robotics.
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Where relevant to leverage Artificial Intelligence [machine learning, predictive analytics and generative AI] to support with analytics and forward steps. As the head of the newly created Markets Intelligence Team [MI], supporting the $1.2+T ETF business in reporting & analytics, data infrastructure/quality and sales enablement as well as ambitions to support the wider Businesses beyond listed products, you will be a dynamic leader who understands or has a track record on driving data and analytics across the business for impact.
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machine learning jobs Title: data science Company: Discover Financial Services in Boston, MA
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