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5+ years working experience with key open source big-data projects as a contributor or committer including Apache Spark, Apache Flink, Trino, Apache Kafka, Apache Hive, Apache Arrow, Apache Hadoop, Delta Lake, Apache Iceberg.
$250Full-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Use Advanced big data scheduling techniques (Jenkins, Airflow) for reliable and recurrent data processing. Develop big data applications for precise audience targeting and cutting-edge measurement for campaign reporting, leveraging the wealth of data within the Walmart ecosystem.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Spark, Databricks, Airflow and related Big Data technologies. Bachelor's degree in Computer Science, Engineering, or a related field, with at least 3 years of data engineering experience.
$108,000 - $198,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a part of the global research, our AI research in Silicon Valley (Bosch Center for AI) focuses on research topics such as Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, 3D Perception & Mixed Reality, Cloud Robotics, Data Science, AI Platform, Time-series Analysis.
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And experience with machine learning frameworks and tools with preferable experience in big data processing, e.g. Hadoop, SQL, Spark. 1-3 years (with PhD) or 3-5 years (with Masters) of industrial experience in Computer Science, Artificial Intelligence, Information Retrieval, or a related field, with a focus on NLP or machine learning.
$135,200 - $205,700 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Data science project involve various types of tasks, ranging from LLM prompt, response, and chat analysis to document retrieval data and analysis, metadata collection and augmentation using machine learning techniques, LLM data sample categorization using prompt engineering techniques, product intelligence from production data, outlier/noise detection and much more.
$144,000 - $270,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Exposure to software engineering: big data technologies (Hadoop, Hive, Presto or other SQL engines, Spark) and software development best practices (code reviews, version control, modular design, unit testing.
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We are seeking an experienced Big Data Software Engineer to design, develop and deliver next-generation technologies within our Prisma Access team. Familiarity in Big Data technologies like Hive, Kafka, Hadoop, SQL, developing APIs.
$144,200 - $233,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong proficiency in PyTorch, TensorFlow, Transformers, Kubernetes, Docker, LangChain, vectorDB and cloud platforms like AWS, GCP, or Azure, and Monitoring tool like Grafana, and CI/CD like airflow, gitlab, and Big Data management like Spark, Kafka.
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As a member of the Advanced URL Filtering (Internet Security) Infrastructure and Data Science Team, you will work closely with data scientists, security researchers, and other engineers on implementing different projects to detect and defend against various emerging threats in the areas of Web Security.
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Familiarity with big data technologies eg: Hadoop, Spark, Hive. Strong background in machine learning libraries and frameworks such as Scikit Learn, TensorFlow, PyTorch. Research new technologies and methods across data science, data engineering, and data visualization to improve the technical capabilities of the team.
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Proficiency with machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with big data technologies (e.g., Hadoop, Spark). Education: Ph. D. or M.S. in Computer Science, Statistics, Mathematics, or a related field with a focus on Machine Learning or Data Science.
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Working knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack Experience with Big Data Frameworks, such as hadoop, spark, flink, etc.
$145,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You make effective use of big data technologies such as Spark and AWS, are able to write efficient SQL, and are proficient in one or more of the following programming languages: R, Python, Java, or Scala.
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Experience with big data technologies and tools (e.g., Hadoop, Spark, SQL) and programming languages (e.g., Python, R, Java). Master's or Ph. D. in Data Science, Operations Research, Statistics, Computer Science, or a related field.
$250ExpandApply NowActive JobUpdated Today
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