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Knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure Client (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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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.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, including Data Science and Machine Learning. 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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Experience with scaling data across distributed data engineering and computing, including Apache Nifi, Airflow, Spark, Dask, or Luigi. As a data strategist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
$106,200 - $242,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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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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Our department mission is to radically accelerate innovation across all data, analytics & Machine Learning teams by providing a self-service, end-to-end platform, enabling the creation of connected, and repeatable, machine learning and analytics solutions.
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You will need strong data engineering capability particularly with Python, SQL, AWS tools including Glue, Lambda and Apache Spark. · Deep knowledge of Python, SQL, Glue, Lambda and Apache Spark.
$70 - $85 an hourExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Experience with machine learning hardware, including AMD, NVIDIA DGX, or small form factor HW, such as Jetson or Xavier. Experience with distributable databases, including Apache Spark, HDFS, MapR, or Cloudera.
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Experience in big data technologies, e.g. Hadoop, BigQuery, MapReduce, Apache Spark. Working alongside our generalist consultants, Bain's Advanced Analytics Group (AAG) helps clients across industries solve their biggest problems using our expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics and data engineering.
$122,500 - $162,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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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.
Full-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Experience with distributable databases, including Apache Spark, HDFS, MapRc, or Cloudera. Job Number: R0192788 Machine Learning Engineer The Opportunity: As a programmer, you know that machine learning (ML) is critical to understanding and processing massive datasets.
Part-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with Apache Airflow and Apache Spark; Spark performance turning. Familiar with PySpark dataframe and data processing libraries, machine learning frameworks (like Tensorflow, Keras or PyTorch), and other machine learning libraries.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning EngineerRemote (Regardless of Location): $140,000 - $159,800 for Senior Machine Learning Engineer.
$165,100 a yearRemoteExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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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 NetworkX Familiarity with graph querying tools such as Apache Tinkerpop Gremlin, Apache Spark Graphframes, or graph databases.
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In-depth knowledge of Apache Spark and Databricks architecture. Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks.
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