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Master’s degree in Organizational Learning Design, Instructional Design, Educational Technology, Industrial/Organizational Psychology, Organizational Development or related field. Assess and identify learning tools and create multi-media assets to augment storytelling within the learning experience and to support program adoption.
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Motivate TK/K-6th grade students through social-emotional learning and enrichment activities such as STEAM, music, and Lego. A team of experts in social-emotional learning, physical activity, the education landscape, and ed-tech platforms guides us.
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Provides a balance of curriculum that encourages social and cultural awareness and exploration, predicting and testing behaviors, choices of at least seven different learning center activities, large and small group activities, and individualized activities.
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We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer! 100% REMOTE Senior ML Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company.
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Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc. 5+ years of practical experience in building, evaluating, scaling, and deploying machine learning pipelines with Python, preferably within the AWS ecosystem.
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Ability to design, train, and evaluate machine learning and AI models while adhering to best practices including model selection, validation, bias/variance tuning, performance assessment, sensitivity analysis, dimensionality reduction, etc.
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Experience in assessing and implementing new data tools to enhance the machine learning stack. Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.
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A modern productivity toolset to get work done: Slack, Miro, Loom, Lucid, Google Docs, Atlassian and more! Adoption and Surrogacy Assistance Plan! Experience with orchestrating complex workflows and data pipelines using like Airflow or similar tools.
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Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science, Engineering, Operations Research, or other quantitative field. Knowledge in domains such as recommender systems, fraud detection, personalization, and marketing science.
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Experience with Git, CI/CD pipelines, Docker, Kubernetes. Experience with building batch and streaming pipelines using complex SQL, PySpark, Pandas, and similar frameworks. Experience with developing data APIs, Microservices and event driven systems to integrate ML systems.
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We are a growing subsidiary of a large public company that is hiring a talented Senior Machine Learning Engineer! We are a growing subsidiary of a large public company that is hiring a talented Senior Machine Learning Engineer.
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The school-based Learning Support Coordinator (LSC) leads our implementation of our all means all belief within the school. Our ideal candidate for Learning Support Coordinator has an unwavering belief that our scholars can achieve at an exceptionally high level.
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As a Data Scientist & Machine Learning Engineer, you will work closely with cross-functional teams and other Hitachi group companies to develop and implement data-driven solutions that drive strategic decision-making and deliver large-scale digital transformation for our clients.
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PhD/MS in computer science, statistics, or computational science, with a focus on machine learning methods, or a PhD in a related field (e.g., computational chemistry or biology) with a strong emphasis in machine learning method development, and 10+ years of relevant experience.
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Researches and disseminate educational technology resources and best practices in technology enhanced teaching and learning. Johns Hopkins University Carey Business School is seeking an experienced and innovative Learning Technologist to join the Carey Learning Technology Group (CTG) within Teaching and Learning (T&L.
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