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Technologies in use (may vary by project) include Pytorch, Tensorflow, scikit learn, XGBoost, Spark, SageMaker, and a number of AWS technologies for big data processing. Amazon’s location data and routing inputs play a crucial role in our vehicle routing problems and other critical applications for Amazon Last Mile Delivery.
$136,000 - $222,200 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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The role involves designing and deploying AI models using machine learning and deep learning techniques within big data environments. Work with the Cloudera suite to maintain and manage big data workflows, ensuring compatibility with AI model requirements.
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Work on highly-scalable classifiers, predictive models and algorithms in big data mining, computer vision, NLP and other domains. Proficient in deep learning frameworks such as PyTorch and TensorFlow, and programming languages such as python or java.
$194,000 - $355,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with Big Data tools and ETL frameworks (Hadoop, Hive, Presto, Spark, Scala, Apache Airflow, etc.) If you are passionate about big data engineering and scalable serving systems, you want to make real business impact, and you are a true problem solver, this is the right job for you.
Starting at $159,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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You have opportunity to learn and develop skills in cutting edge big data technologies: BigQuery, Airflow, Looker, TensorFlow, etc. Use tools and programing methods to build scalable ETL framework that transforms and loads large volume of data to BQ data warehouse.
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Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP). Proficiency in programming languages such as Python, R, and relevant libraries and frameworks (e.g., Sklearn, TensorFlow, PyTorch.
$127,950 - $191,962.5 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience with big data platforms such as Hadoop, Spark, and Hive. Strong programming skills in Python, R, Tensorflow and prompt engineering. Collaborate with cross-functional teams including data science, software engineering, and product management to build predictive models, forecasting tools, and recommendation systems.
Full-timeExpandUpdated 4 days ago - UpvoteDownvoteShare Job
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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 2 days ago - UpvoteDownvoteShare Job
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Possess extensive knowledge (7+ years) with big data tools, distributed computing frameworks (Hadoop Spark), ETL, NLP, and ML libraries (Tensorflow, Keras, Caffe, and PyTorch) Collaborate with Digital Technology teams to cultivate a holistic data technical ecosystem.
$175,000 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Database development and use for machine learning and big data applications Experience with popular ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Database development and use for machine learning and big data applications Education: A Bachelor of Science (BS) degree from an accredited college or university in an engineering, scientific, or technical discipline is required Clearance: A Secret Clearance is required for this position.
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Net, Python; Data Technologies: Oracle, Cassandra, Elastic Search, Aurora, NiFi, Cribl.io LogStream, Splunk, Hadoop, Tensorflow, Jupyter. Domain expertise: programming languages, data analytics, machine learning (ML/AI), DevSecOps, Cloud, Big Data.
$110,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience working with a variety of relational SQL and NoSQL databases, big data tools: Hadoop, Spark, Kafka; a Linux environment; and at least one cloud provider solution (AWS, GCP, Azure.
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Experience with big data and cloud computing environments, Azure and Snowflake preferred. Experience with ML and NLP libraries (e.g., TensorFlow, PyTorch, NLTK, spaCy, Scikit-learn.
RemoteExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience with a range advanced techniques and emerging approaches to big data and data science (Python, Spark, TensorFlow, H2O, Dask, etc),extensive experience with SAS/SQL/Hive for extracting and aggregating data.
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Experience working with big data distributed programming languages and ecosystems such as Hadoop, MapReduce, Pig, or KafkaExperience with designing and building cloud-based databases, data lakes, and data warehouses.
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