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Demonstrate deep knowledge of data integration principles ETL best practices and data governance frameworks with familiarity in machine learning concepts and data preparation techniques.
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The Lead Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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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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As an Account Manager at Esri, the global leader in geospatial science and GIS, you will apply your selling skills to address a huge transformation in technological capabilities across the public sector that includes Artificial Intelligence (AI) and Machine Learning (ML), Kubernetes, digital twin, data science, big data, Microsoft Fabric; distilling IoT-generated data into actionable intelligence, cloud computing, and more.
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At least 10 years of Experienced with all the tasks involved in administration of big data and Meta Data Hub such as Cloudera. The selected candidate will be responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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Leverage Databricks for data engineering, analytics, and machine learning tasks within application development. Proven experience as a Full Stack Developer with expertise in Angular, Java, microservices, Python, and Databricks.
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Demonstrated full lifecycle delivery and support experience with Big Data technology stacks include Azure Data Lake, Azure Synapse, Cosmos DB, Databricks, Oracle, Service Now (SNOW), etc. Significant demonstrated experience in developing key Agile delivery roles such as Release Train Engineer (RTE), Scrum Master, Scaled Agile practitioner, Agile Delivery Process Coach, Lean Portfolio Manager.
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MySQL, PostgreSQL, Mongo DB, RDS, DB2), Big Data systems (ex. Created Big Data pipelines (ETL) from on-premises to Data Factories, Data Lakes, and Cloud Storage such as EBS or S3. Strong knowledge of Cloudera (Hadoop, HDFS, YARN, Hive, Spark) administration and managementHands-on experience with AWS services (EC2, S3, RDS, VPC, IAM, etc.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. At least 6 months of experience or academic work using machine learning techniques.
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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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Should have led AI/ML projects in current role and should have the experience in designing, developing, and implementing machine learning models and algorithms. You will iterate on improvement rapidly with a mindset for failing fast and learning continuously from data.
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Liaises with student support services, resources, and campus partners such as SSAC, CAPS, Student Health, TimelyCare, Student Conduct, Residence Life, Disability Services, Learning Services, Undergraduate Education, and the Graduate Division to facilitate collaboration across campus, while representing CEHD and serving on key university-wide committees.
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At AWS National Security we’re looking for a Sr. Technical Account Manager to support our customers’ creative and transformative spirit of innovation across all technologies, including Compute, Storage, Database, Machine Learning, Big Data, Security, Networking, Serverless and more.
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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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Hands-on experience with data analytics and classical machine learning tools(like pandas, NumPy, scikit-learn)and deep learning frameworks(like Tensorflow, Lang Chain, Pytorch, Flask, Fast API.
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big learning jobs Title: machine in Reston, VA
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