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The Assistant Learning & Development Manager coordinates and manages the implementation of hotel trainings in line with brand and hotel policies and procedures. An Assistant Learning & Development Manager, serving Hilton Brands is always working on behalf of our Guests and working with other Team Members.
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The Data Scientist has familiarity with industry best practices for software/hardware optimization when processing large data sets and offers experience in the following required task areas: experience with machine learning, statistical modeling, time-series forecasting, and/or geospatial analytics; experience with Hadoop, Spark, or other parallel storage/computing processes is a plus.
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Wolters Kluwer Tax & Accounting North America is looking for a Sr. Field Sales Manager to join our Research & Learning team in a remote home office in the Northeast! As a Sr. Field Sales Manager for Wolters Kluwer Research & Learning, you will have primary responsibility for driving profitable sales growth in assigned accounting firms within a geographic territory that meets or exceeds sales goals.
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A central task is to provide project management and support of the e-learning/digital vendors contracted by FASTC and the T Directorate to ensure all ISD design and development work will be done in accordance with an Instructional Systems Design model (SAM or ADDIE), Standard Operating Procedures (SOP) and Federal Law Enforcement Training Accreditation (FLETA) standards for the DS/T/Office of the Foreign Affairs Security Training Center (FASTC.
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Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths. Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis,DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges. Explore new machine learning and artificial intelligence approaches for automated object detection, feature extraction/target state estimation, multi-source data fusion, and much more.
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Bachelor’s degree in computer science, Engineering, or Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, or related field and. Collaborate with data scientists on using data science and machine learning algorithms in areas such as natural language processing, graph analytics, computer vision, and anomaly detection, in accordance with industry and academic best practices.
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Hands-on experience with machine learning (including deep learning and reinforcement learning), and one or more of the following technical areas: large language models (LLM), generative AI, decision science, human machine teaming, cognitive science, AI testing and evaluation, multi-agent systems, knowledge-based reasoning, automated planning, semantics, and ontologies.
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Certifications and specialization in IT Ops, Infrastructure, APM, Data Engineering, Machine Learning, Data Infrastructure. Thousands of organizations worldwide, including Barclays, Cisco, eBay, Fairfax, ING, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems.
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Learning to lead end-to-end internal assessments based on PCI DSS requirements. Cyber Governance and Risk is seeking an associate to develop into a subject matter expert lead within the Payment Card Industry (PCI) team providing consulting to the enterprise regarding the PCI Data Security Standard (PCI DSS) and other applicable PCI Council standards.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly. Infrastructure Support (IS) certification, including CEH, CySA+, GICSP, SSCP, CHFI, Experience with DevSecOps, CI and CD, IaC and CaC, IT Infrastructure Library, and IT.
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud. Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for Compliance-Complaints.
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Our Boiler Inspectors are offered a wide range of benefits including career long learning opportunities, tuition reimbursement, company car, 401 (k), pension, flexible schedules, ability to work from home, rich health and well-being programs, generous time off allowances, volunteer days and so much more.
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Data science, machine learning, optimization models, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, using open-source frameworks (for example, scikit learn, TensorFlow, torch.
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Write, develop, and design instructionally sound, dynamic, accessible learning content focused grants/financial management topics for criminal justice, juvenile justice, and victim services professionals in collaboration with SMEs.
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learning job Title: expert Company: The Realreal in Reston, VA
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