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The Spark Program Associate Director is responsible for the daily operations and implementation of the programs set forth by the Director for the Spark, through the supervision of the supervisor and student employee teams, implementing procedural standards and guidelines to insure an inclusive, collaborative, and safe space is maintained in all Spark endeavors.
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Maintains cohesive vision and mission for the Spark team though organizing, scheduling, implementing and evaluating engaging innovative maker programs for patrons of all ages. Implements Program plan for the Spark by coordinating program logistics with Spark staff including organizing equipment and supply set up/take down, creating a welcoming and inclusive environment and supporting appropriate promotion of programs and services from the Spark.
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Big Data tools/frameworks (e.g. Spark, Hive, Hadoop, MapReduce, Kafka) To be considered for a Software Engineer internship position in the Applications Development organization, you must possess the Objective Minimum Qualifications (OMQs) below.
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As a SONIC Drive-In Crew Member – which may include Frozen, Fountain, Expo or Switchboard - you will spark moments of delightful possibility for our customers. Working at SONIC, you’ll spark moments of delightful possibility.
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Design and maintain data pipelines using Azure Data Lake, Azure Synapse, Databricks, and Spark. Python and SparkSQL/Spark experience. Design and maintain data pipelines using Azure Data Lake, Azure Synapse, Databricks, and Spark.
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Be the spark that brightens days and ignite your career with TTEC's award-winning employment experience. As a global company, we know diversity is our strength because it enables us to view things from different vantage points and for you to bring value to the table in your own unique way.
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Spark MLlib: Machine learning library built on Apache Spark for distributed data processing. Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP): Cloud computing platforms offering AI services and scalable infrastructure.
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Our current stack runs on AWS and includes Kubernetes, Airflow, Spark and PyTorch, but you’ll have full ownership over adjusting the stack as needed. Participate in the onboarding program to learn about the scientific efforts fueling the Anagenex platform, including DNencoded library (DEL) technology, computational chemistry, and medicinal chemistry.
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This is achieved by executing social media strategies, managing web content, and writing compelling stories in support of Science Museum Oklahoma’s mission to spark curiosity and encourage learning by exploring the wonder and relevance of science.
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Experience with technologies for processing data at scale and delivering data pipelines including Kafka, Spark, AWS SQS, Lambda, Step functions, ECS, Fargate, Athena, BigQuery, GCP PubSub, Cloud functions, Cloud Run, Kubernetes.
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Well versed with Hadoop, Hive, Spark using Scala, Kubernetes, Cloud, API and Data Lake concepts. You are familiar and have basic knowledge infront-end technologies such as HTML, CSS, JavaScript, React, Angular etc andback-end technologies such as Python, Java, Node.jsetc.
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R and/or Python; SQL; statistical analysis and modeling, including linear and generalized linear models; time series analysis and forecasting; machine learning models such as random forests, XGBoost, and SVM; Spark (in Scala or from R or Python.
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Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, and Spark. We are hiring an AI/ML and MLOps Field Engineer to help global companies embrace AI in their business, using the latest open source capabilities on public and private cloud infrastructure, Linux and Kubernetes.
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Experience designing and deploying with one or more from the following ML frameworks: TensorFlow, PyTorch, JAX, Spark ML, etc. Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch.
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Data warehousing platforms (e.g., Amazon Redshift, Snowflake) and big data technologies (e.g., Hadoop, Spark). data warehousing platforms (e.g., Amazon Redshift, Snowflake) and big data technologies (e.g., Hadoop, Spark.
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spark job in Oklahoma City, OK
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