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Leverages technical proficiency of big-data software engineering concepts, such as Hadoop Ecosystem, Apache Spark, continuous integration and continuous delivery (CI/CD), Docker, Delta Lake, MLflow, AML, and representational state transfer (REST) application programming interface (API) consumption/development.
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Demonstrated experience using big data processing tools such as Apache Spark or Trino. Create data science and data engineering products that include data models, data ingestion/transform, analytics which may include machine learning, and some form of output as either a machine-readable format (e.g., file output, database output, standard/streaming output) or a user interface or dashboard.
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Demonstrated experience implementing machine learning models on text and multimedia data such as Spark NLP and Computer Vision models. Demonstrated experience with Apache Spark and managing Spark clusters.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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.
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Stay current with emerging trends and technologies in big data and cloud computing, particularly related to Databricks and Apache Spark. Experience with Apache Spark and related technologies.
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Experience with machine learning and data science workflows on Databricks. Experience with machine learning and data science workflows on Databricks. Implement best practices for data governance, security, and compliance on the Databricks platform.
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The Contractor Team shall create data science and data engineering products that include data models, data ingestion/transform, analytics which may include machine learning, and some form of output as either a machine-readable format (e.g. file output, database output, standard/streaming output) or a user interface or dashboard.
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Develop robust data engineering pipelines utilizing Apache Nifi and Python to include use and development of REST APIs and microservices. Demonstrated experience using data engineering tools such as Apache Nifi to preprocess, modify, aggregate, load, index, and archive large data collections.
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Our client seeks a Machine Learning Engineer to provide data science and data engineering services, including developing data models, data ingestion/transformation, analytics, and machine learning.
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Demonstrated experience with Databricks and Apache Spark. The Contractor shall identify and leverage datasets relevant to the question area, and produce actionable insights through data exploration, analysis, visualization, and the application of statistical and machine learning techniques.
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Tableau, SQL, R and/or Python, Apache Spark is a plus. Statistical Analysis & Techniques experience:Advanced analytics techniques (regression, clustering, forecasting, simulation, machine learning)Interrogation of external or internal data sources to support analytic methods and visualization techniquesBusiness Process & Operations quantitative analysis.
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Leverage a broad set of modern technologies - including Python, R, Scala, and Spark - to analyze and gain insights within large data sets. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive.
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Additionally, you will develop robust data engineering pipelines utilizing Apache Nifi and Python to include use and development of REST APIs and microservices. Machine Learning Engineer.
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Experience with the following technologies: Jupyter, Spark, Apache Superset or other BI software, AWS cloud computing. Strong grasp of statistics, programming, and modeling techniques (machine learning, classification, cluster analysis, data mining, databases, and visualization.
$57,737 - $98,153 a yearFull-timeRemoteExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Experienced with data ingest pipeline ETL (Extract / Transform / Load) with technologies such as Apache Kafka, AWS Kinesis, Apache Storm, Apache Spark, or Hadoop. You have studied machine learning, statistics, natural language processing, geospatial systems and can enjoy working with Machine Learning and Data Learning subject matter experts.
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