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Contribute to a wide variety of technical projects using natural language processing, statistical analysis, machine-learning, and other forms of analytical modeling. Strong knowledge of machine learning algorithms, deep learning techniques, and statistical modeling.
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E AirFlow/MlFlow/ Kubeflow) · Experience in Spark, Hive, Spark ML, Databricks, Natural Language Processing, Tensor Flow, and Deep Learning tools (i. dcca.com Machine Learning – All Levels Candidate must have an active TS/SCI to be considered Key Tasks: · Develop algorithms and conduct analysis using state-of-the-art machine learning/artificial intelligence tools · Built and deploy AI algorithms especially in cloud environments (i.e. AWS) · Establish scalable, efficient, and automated processes for large scale ML model deployments and integration.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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An AI & Analytics Product Manager is a hybrid role, blending product management expertise with a deep understanding of data, artificial intelligence, and machine learning. Strong understanding of AI & analytics technologies: Deep knowledge of machine learning algorithms, data mining techniques, statistical modeling, and other relevant technologies.
$208,300 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with neural deep learning methods and machine learning. Design and develop complex mathematical, statistical, Machine Learning, GenAI models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutions.
$260,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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Provide technical excellence to apply state-of-the-art machine learning / artificial intelligence utilizing technologies such as Spark, R, Hadoop, Scala, SQL to real world infrastructure business problems.
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Experience with distributed computing frameworks such as Hadoop or Spark, or distributed training of Machine Learning models. Experience with modern Machine Learning, Natural Language Processing and Text-mining technologies.
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