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Knowledgeable of Client platform technologies including Apache Airflow, Kubernetes, Dask, Ray, and MLFlow. Design and implement frameworks and tools to streamline the machine learning process.
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Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design. Experience managing common Azure services (Virtual Machine, Database, Storage, Virtual Network, Azure Resource Manager, etc.
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Experience with data science libraries such as Pandas, Apache Spark, or SciPy. Omni Federal designs, builds and operates data-rich applications leveraging advanced data modeling, machine learning and data visualization techniques to empower our customers to make better data-driven decisions.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Develop and adjust benchmarking suites and methodologies for various software technologies such as Java, Golang, open-source database, Apache Kafka, and machine learning applications. Deep understanding of Linux kernel, compilers, middleware technologies (Java, Golang, TensorFlow, PyTorch), and container environments (Kubernetes, Docker.
$70 - $80 an hourExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience debugging and optimizing large scale data pipelines using Apache Spark. The Machine Learning Infrastructure organization provides infrastructure and support to run machine learning workflows and ship to production, tooling and operational capacity to accelerate the use of these workflows, and opinionated technical guidance to guide our users onto successful paths.
$254,600 - $538,400 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience with large-scale data processing systems like Apache Spark and Flink. Senior Software Engineer - Machine Learning Platform page is loaded. You will report to the Machine Learning Platform Engineering Manager.
$180,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Operate burnishing machine to ensure proper finish on silverware; clean kettles, tilt skillets, pots and pans promptly and completely so cooks can carry out their work; keep dish machine properly cleaned and filled with water per Apache Casino Hotel standards; de-tarnish/polish silver for proper appearance.
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Ability to use Python and Apache Spark to work efficiently at scale with large data sets. B.S. degree in Computer Science, Statistics, Economics, Mathematics, Machine Learning, Operations Research, or other quantitative fields, or equivalent industry experience.
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Deep understanding of Linux kernel, compilers, middleware technologies (Java, Golang, TensorFlow, PyTorch), and container environments (KClientnetes, Docker) Hardware Test Engineer in Seattle, WA or Sunnyvale, CA location (Onsite - Hybrid 50% a month.
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Experience working with data technologies, such as Apache Spark, Kafka, dbt, and data warehouses, for handling large-scale datasets. We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.
$133,000 - $237,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Knowledge of Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, Hadoop, Hive. Leverage state of the art machine learning techniques for a variety of problems across the company including fraud, feed ranking, recommendations and targeting, blockchain mining.
$180,265 - $212,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience in advanced Apache Spark processing framework, and spark programming languages such as Scala/Python/Advanced Java with sound knowledge in shell scripting. Specifically, this experience must be in writing Big Data data engineering jobs for large-scale data integration in AWS; prior experience in writing Machine Learning data pipelines using Spark programming language is an added advantage.
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Experienced using AI/ML platforms, technologies, and techniques (e.g. TensorFlow, Apache MXnet, Theano, Keras, CNTK, scikit-learn, H2O, Spark MLlib, etc. You will focus on researching and developing leading-edge analytics-enabled solutions, including applying smart algorithms, machine learning, artificial intelligence, and cloud technologies.
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We use Apache Airflow, Python, and Apache Spark for ETL. For streaming data, we use Apache Kafka managed by a vendor and use Kafka Connect, Kafka Streams, and Spark Streaming for stream processing.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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API automation using Apache Karate/Rest Assured or Similar. Perform end to end testing of all Transit Systems Software and Hardware (Ticket Vending Machine, Ticket Office Machine, Validation Systems, Web and Mobile.
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