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Big Data Technologies:Distributed Computing: Tools like Apache Spark, Hadoop. Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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Familiarity with Graph or Network Theory and Graph ML, including relevant frameworks and libraries such as Deep Graph Learning (DGL) or PyTorch or NetworkXFamiliarity with graph querying tools such as Apache Tinkerpop Gremlin, Apache Spark Graphframes, or graph databases.
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Hands-on expertise with modern distributed systems, including both Hadoop/SQL and Apache Spark. Expertise with modern distributed systems, including both Hadoop/SQL and Apache Spark.
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Experience in Big Data ecosystem : ETL, tooling of Big Data Platform (Apache Spark, Airflow), Datalake, Synapse or Snowflake. As a Senior Reliability Engineer, you will play a critical role in ensuring the robustness, availability, and performance of our cutting-edge Data Engineering and Machine Learning Platforms.
$82,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expert knowledge of data engineering practices, tools, and frameworks (e.g., Apache Spark, Hadoop, Kafka). QUALIFICATIONSBasic Education and Prior Work-Related Experience:Degree Requirement: Bachelor's Degree or Equivalent ExperienceWork Experience: 15 or more years of prior work-related experienceAdditional Qualifications:Extensive experience in a senior technical role within the technology field, preferably with a focus on data engineering, cloud operations, data science, machine learning, and artificial intelligence.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI.
$165,100 a yearRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working with numerical/quantitative systems, e.g., pandas, NumPy, SciPy and Apache Spark. Familiarity with linear algebra, regression analysis and machine learning techniques.
$54,000 - $82,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Working in a distributed computing environment; Hive, Impala or Apache Spark; Data extraction and manipulation using SQL; Connecting Tableau or Shiny reports to Hadoop back end; and- JavaScript visualization libraries including D3.
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Hands-on experience building data pipelines using Databricks and Apache Spark. Construct and optimize Apache Spark jobs and clusters on the Databricks platform. Design and implement machine learning workflows using Databricks for predictive analytics and model training.
$65 - $75 an hourRemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Hands-on experience using Databricks or Apache Spark (i.e., PySpark, SparkR, or Scala) and understanding best practices. Prior experience as a Machine Learning Engineer, Data Engineer, Software Engineer, or similar role.
$128,720 - $193,080 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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We’re seeking data scientist s who have domain knowledge or an interest in Big Data , machine learning, natural language processing, image processing and an interest to apply it to economic and financial applications.
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Extensive experience in a senior technical role within the technology field, preferably with a focus on data engineering, cloud operations, data science, machine learning, and artificial intelligence.
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Experience with Apache Airflow and Apache Spark; Spark performance turning. We are seeking a Senior Machine Learning Engineer to join DS&E. Candidates should possess robust knowledge and hands-on experience in end-to-end ML modeling, including design, development, deployment, monitoring, and maintenance, plus proficiency with cloud computing infrastructure, AWS in particular.
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More than 10,000 organizations worldwide - including Comcast, Cond 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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