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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc) Deep understanding and experience with advanced analytics, Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) or Computer Vision (at least 3 of these areas.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We are currently seeking a Data Technical Lead (Apache Spark, Pyspark and Databricks) to join our team in Dallas, Texas (US-TX), United States (US). In-depth knowledge of Apache Spark, Pyspark, and Databricks architecture.
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Familiarity with Big Data technologies like Snowflake, Apache Beam/Spark/Flink, and Databricks. Apache Spark, Kubeflow, Dataflow, Kubernetes, Kafka, Pub/Sub, and Flask. Embark on a leadership role within the Blue Yonder Data Science and Machine Learning team as a Staff Data Scientist, steering our machine learning platform that processes real-time data and powers deep learning models, generating billions of predictions daily.
$189,615 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Strong expertise in programming languages - Python, R, or Scala and technologies like Tensorflow, PyTorch, Kubernetes, Spark, Airflow, Kafka and Opensource LLMs. Exceptional programming skills in Python, with popular deep learning and natural language processing (NLP) tools and libraries, including Scikit-learn, Pandas, PyTorch, TensorFlow, or other leading deep learning frameworks, NLTK and spaCy for natural language processing tasks.
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Certifications such as Certified Information Systems Security Professional (CISSP), Certified Data Privacy Solutions Engineer (CDPSE), GIAC Machine Learning Engineer (GMLE) are highly desirable.
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Familiarity with big data technologies and platforms (Dask, BigQuery, Kafka, Spark Structured Streaming). Designing, developing, and implementing machine learning models to improve cybersecurity measures, including but not limited to intrusion detection systems, malware analysis, and fraud detection, user behavior anomaly detection.
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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.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in any of the tools/language/frameworks within the Big Data & cloud ecosystem (Hadoop, MongoDB, Neo4j, Spark, Hive, Hbase, Cassandra, etc.) Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, RNNs, CNNs, etc.
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We are seeking a Machine Learning Engineer (Gen AI) with over 11 years of overall IT experience. Good understanding of distributed system like Spark and Kafka =>. Data Science / Machine Learning.
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Experience with data platforms such as Spark, Databricks, EMR, Snowflake, or BigQuery. Familiarity with Machine Learning and Data Science tooling, such as Jupyter Notebooks, Tensorflow, Scikit-learn, and PyTorch.
$135,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience building enterprise scale data pipelines on Cloud Data Platforms using Spark and Databricks for ETL/ELT, data products, or Machine Learning; Azure preferred. Experience building enterprise scale data pipelines on Cloud Data Platforms using Spark and Databricks for ETL/ELT, data products, or Machine Learning; Azure preferred.
ExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Expertise with scaling pilot machine learning solutions to a large scale production environment using databricks. environments (such as Splunk, Hadoop, Spark, Flink, Stream Analytics, Kafka, Docker.
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As a Principal, you’ll design and deliver innovative Machine Learning solutions as part of intelligent products on Amazon Web Services, Azure and Google Cloud using core cloud data science tools, MLOps components, and other big data related technologies.
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Hands-on experience with cloud platforms (e.g., AWS, Google Cloud/BigQuery, Azure), proficiency in data technologies (e.g., SQL/NOSQL databases, Hadoop, Spark, Kafka), and business management/visualization software (e.g., Domo, Tableau.
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Working as part of our Production Management team, you will help deliver a world class client service and experience, by applying engineering, innovation, learning and risk management across our systems and user environments.
$144,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
learning spark jobs in Dallas, TX
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