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Familiarity with Big Data technologies like Snowflake, Apache Beam/Spark/Flink, and Databricks. Embark on a leadership role within the Blue Yonder Data Science and Machine Learning team as a Staff Data Scientist, steering our machine learning platform that processes real-time data and powers deep learning models, generating billions of predictions daily.
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Clean, preprocess, and transform raw data into a suitable format for machine learning models. Collaborate with data scientists, software engineers, domain experts, and client stakeholders to understand requirements, gather feedback, and integrate machine learning solutions into larger systems or products.
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The ideal candidate will have a strong background in data science, programming, and machine learning algorithms and will be passionate about leveraging data to drive business decisions.
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To provide diversified administrative, clerical, and technical assistance/service within a correctional healthcare facility through electronic information systems management, medical records processing, or materials inventory/procurement activities.
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More than 10,000 organizations worldwide including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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We optimize our clients' experience using unique proprietary technology coupled with robotic process automation, intuitive digital programs powered by machine learning, and enhanced by an extensive proprietary transaction data set.
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Required skills: Batch, real-time and Event processing, Databricks, Spark, ADF, Logicapps, Event Hub, AZ SQLDB, AZ Functions, Tableau, SSIS, CI\CD, Azure Pipelines. The successful candidate will have a strong background in processing data from streaming, real-time, and batch sources using Azure technologies.
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Collaborate with data scientists and engineers to design, build, and maintain Azure-based MLOps pipelines for automating machine learning model deployment, monitoring, and maintenance.
$135,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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Utilize Hadoop technologies, Data Science, Data Engineering and Machine learning capabilities. Responsible for assisting helping the Chief data office and enterprise business teams build data models, data pipelines and if necessary, build and operationalize machine learning models to draw insights from the datasets.
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As a(an) Sterile Processing Technician with Medical City Heart & Spine Hospitals you can be a part of an organization that is devoted to giving back! Previous experience as a central sterile processing technician preferred.
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Design and deploy large-scale data applications using Cloud, Big Data, Azure Data Factory (ADF), Azure Data Bricks, Python, Spark, SQL and NoSQL solutions. NET; C#; HTML; REST APIs; CSS; JavaScript; jQuery; Angular; SharePoint; Python; Shell Scripts; SQL Server; Oracle; NoSQL DBs; Cloud Technologies such as Azure and AWS; Git; Lucid Chart; Postman; Jenkins; Azure DevOps; Kubernetes; and Docker.
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3+ years experience with big data technologies such as Apache Hadoop, Spark, Elastic Search, and Kafka in conjunction with GCP tools. 3+ years experience with optimizing data processing and storage solutions for performance and cost-efficiency.
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Sterling Fab Tech is a CNC Machine Tool Sales Company that specializes in metal fabrication and processing equipment. We are looking for a Field Service Engineer to join our team and assist with the technical support, installation and repairs / technical service of CNC Machine Tools for our customers.
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O Blow molding, inclusive of PET processing, machine set-up, mold changes, and quality inspection systems. o Labeling technology, roll-fed and/or cut and stack, machine set-up, hot melt gluing systems, and conveying systems.
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machine learning apache spark data processing electronic medical records jobs Title: engineer in Dallas, TX
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