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Partner with operational leaders and Learning Management System (LMS) stakeholders to develop administrative and LMS frameworks required to support education, training, CEU management, and development programs and initiatives for specialized revenue cycle services; formulate policies, procedures and schedules to support education and training operations and initiatives.
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Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to develop and implement in production algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams.
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Production experience with developing content recommendation algorithms at scale and familiar with metadata management, data lineage, and principles of data governance. Our team develops, implements, 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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In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings. 7+ years of experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience.
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Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate. Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark.
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AWS, Docker, Airflow, Databricks. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day - from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
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Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment. Building streaming data pipelines using Kafka, Spark, or Flink.
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Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. Whether that's evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.
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Ensures coordination and integration of psychological and behavioral services of children and adolescents with other areas throughout the facility to ensure clear expectations, facilitate best practices, ensure uniformity of procedures, and to support system values.
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Oversight & Management of Accommodations Processes Direct and implement reasonable services and accommodations for individuals with disabilities (students, and public attendees) under the mandates of the Americans with Disabilities Act Amendments Act (ADAAA) of 2008.
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Access to a robust learning management system, full of e-learning modules and training programs to help boost your professional and personal development. CFF is the parent company to eleven brands including Cash 1, Check Into Cash, CheckSmart, Easy Money, InstaLoan, Rapid Cash, and Speedy Cash, TitleBucks, and TitleMax. With more than 1,700 retail storefronts and several online products available in 20+ states, CCF is steadfast in our commitment to help people across the country get access to the short-term financial services they need when they need it the most.
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Experience with Welfare Management System (WMS), Cash Assistance, SNAP & Medicaid, Paperless Office System (POS), New York City Way (NYCWAY), Paperless Alternative Module (PAM), HRA One Viewer, Electronic Payment Processing &Information Control (EPPIC), scanning, indexing, Enterprise Data Warehouse (EDW) Systematic Alien Verification for Entitlements (SAVE), and State Online Query (SOLQ.
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Utilize the ECC Energy Management System (EMS) and NYISO Management Information System (MIS) to monitor real-time status such as NYPA’s Generation and basic Water Management.
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A typical day in this role might involve: communicating with peers and stakeholders, updating project documentation with current statuses, authoring elearning courses, maintaining phased onboarding plans, interfacing with our learning management system to action updates or pull reports, attending meetings, and completing peer QAs.
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services person learning management system jobs Title: application engineer in Arlington, Tennessee
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