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Experience in Cloud and Big Data platforms such as AWS, Snowflake, Hadoop, Hive, Pig, Apache Spark, etc. Provide thought leadership and technical proficiency in data driven decision and opportunities using various analytic methods such as predictive modeling, clustering, text mining, machine learning statistical forecasting, optimization, simulations etc.
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Design and implement robust data pipelines using tools such as Apache Airflow and Google Cloud Platform (GCP) services. Hands-on experience with building and deploying data pipelines using Apache Airflow, GCP, or similar technologies.
$127,000 - $215,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with cloud-based machine learning platforms such as Amazon SageMaker or Apache Spark-based solutions like Databricks is advantageous. Cytokinetics is dedicated to advancing the frontiers of technology through the strategic application of artificial intelligence, machine learning, image analysis, and computational biology and chemistry.
$176,000 - $215,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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Experience working with any scheduler such as Apache Airflow, Apache Luigi, Chronos etc. Zeta Marketing Platform (ZMP) is a machine learning/AI powered customer acquisition and CRM multi-tenant platform.
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Developing data pipelines powered by Apache Spark and other modern big data processing systems. Building infrastructure that enables deploying machine learning models over billions of historical data points collected from tens of thousands of retail stores across the US.
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Experience with graph-based data workflows such as Apache Airflow, Meson. Design and develop infrastructure for the full cycle of machine learning such as workflow management, feature store, data discovery tools, and feature libraries.
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Experience working with Apache Spark (SQL, MLlib, Streaming) GoodRx is looking for an experienced Senior Machine Learning Engineer to enable and accelerate our machine learning efforts to help maximize the value of GoodRx’s platform for both customers and stakeholders.
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You have experience working with RPA technologies such as Apache Airflow, Camunda, Tesseract, Google Cloud Vision, or Amazon Rekognition and AWS services like EC2, S3, Lambda, and Elastic Beanstalk.
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Experience with Apache Spark or Apache Beam. As a Machine Learning Engineer, you leverage this data to build the next generation of health care by building and interpreting intelligent systems that power our product in order to scale the treatment, drive patient engagement, and improve patient outcomes.
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5+ years of experience building data platform product(s) or features with (one of) Apache Spark, Flink or Iceberg, or with comparable tools in GCP. Write highly fault-tolerant Java code within Apache Spark to produce platform products used by our customers to query our event pipelines/ingestion for insight into active threat trends and related analytics.
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