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Experience in streaming and/or batch analytics (e.g. Kafka, Spark, Flink, Storm, MapReduce, Hadoop) Machine learning, artificial intelligence, neural networks experience is a huge plus (e.g. Tensorflow.
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Familiarity with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn. Familiarity with big data processing tools (e.g., Hadoop, Spark) is advantageous.
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Machine Learning - Python, R, Matlab, Tensorflow, DMTK. Database - Design, familiarity with DDL and DML for one or more of the following databases Oracle, MySQL, MS SQL Server, IMS, DB2, Hadoop.
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Proficiency in cloud and computing technologies including Hadoop, Apache Spark, AWS, Microsoft Azure, or Google Cloud. Familiarity with machine learning tools such as scikit-learn, R, Theano, TensorFlow, SparkML, or Foundry.
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As a Junior Machine Learning Engineer, you will have the opportunity to work on exciting projects, develop your skills, and contribute to the development and implementation of machine learning solutions.
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Junior Machine Learning Engineer (US/Canada Residents Only, 1 year experience, remote) Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Knowledge of deep learning architectures and techniques is a plus.
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Experience with Big Data and analytics leveraging technologies like Hadoop, Spark, Scala, and MapReduceDeep learning experience with TensorFlow is a plus. Real world experience using Hadoop and the related query engines (Hive / Impala.
$161,300 - $209,700 a yearExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies (e.g., Hadoop, Spark, Hive) and data visualization tools (e.g., Tableau, Power BI) is a plus. + Hands-on experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch) is a plus.
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You have experience with deep learning library like TensorFlow and/or PyTorch is highly desirable as well as experience with Spark and/or Hadoop. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Experience using Python, SQL, PyTorch/TensorFlow, Hive/Hadoop, and AWS/GCP. Experience using Python, SQL, PyTorch/TensorFlow, Hive/Hadoop, and AWS/GCP. Design, improve and work with our data pipeline that transfers and processes petabytes of data using S3, Kubernetes, Sagemaker, GCP, Python, Apache Kafka, & Hive.
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Junior Machine Learning Engineer - Remote Job, 1+ Year Experience. Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. Solid understanding of machine learning fundamentals, algorithms, and statistical concepts.
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Data-driven decision-making is essential to game development at EA. We're looking for a thoughtful and disciplined Data Scientist with deep statistical modeling experience, strong data engineering experience and a passion for games and digital technologies.
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Deep learning experience working with TensorFlow is necessary. Experience with Big Data and analytics leveraging technologies like Hadoop, Spark, Scala, and MapReduce. PhD in Computer Science, Operations Research, Statistics, or highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, Statistical or other mathematical analysis.
$183,400 - $238,500 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Good understanding of machine learning pipelines and machine learning frameworks such as TensorFlow and PyTorch. Proficient in core technologies like Spark, Hadoop and Hive. Familiar with cloud services like AWS, Azure, and workflow orchestration tools (e.g., Airflow.
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Knowledge of distributed/cloud computing systems (e.g. Spark, Hadoop, Azure, AWS, Cosmos). (e.g. PyTorch, TensorFlow, scikit-learn). Knowledge of distributed/cloud computing systems (e.g. Spark, Hadoop, Azure, AWS, Cosmos.
$112,000 - $218,400 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago
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