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Experience in building, deploying, maintaining and sunsetting large-scale machine learning models and systems in production environments using TensorFlow, Keras, PyTorch, Scikit-Learn, AWS, Azure, Google Cloud.
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Two years of full-time paid experience as a database architect or database administrator in the information technology industry designing, building, operationalizing, securing, monitoring, and maintaining Google Cloud Platform or comparable cloud computing platforms using applicable data infrastructure such as Google Cloud Storage, Google BigQuery, Google CloudSQL, and Google Cloud Run for data processing.
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Kafka, Apache Pulsar, RabbitMQ, Amazon Kinesis, Apache Flume, Apache Storm, Apache Spark Streaming, Google Cloud Pub/Sub. Secret Management tools such as Hashicorp Vault, CyberArk, Azure Key Vault, Google Cloud Secret Manager or equivalent.
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We are looking for a senior Machine Learning Engineer with deep expertise in attribution space (just like you!) Additionally, we are dedicated to crafting exceptional data infrastructure and innovative solutions in the realms of data science and machine learning.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 5+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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Utilize programming languages like Scala, Java, Python, SQL and GO and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems.
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Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment. As a Capital One Senior Lead Data Engineer, you ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community.
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Constructing and enhancing data pipelines for model training and serving using Google cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable. Constructing and enhancing data pipelines for model training and serving using Google cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable.
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Our cloud-centric IT infrastructure, supporting domestic and international offices alongside remote workers, relies on Google Workspace, Zoom, Cisco, Palo Alto, Okta, and Jamf, with a predominant user base on Mac systems and ongoing migration efforts from Windows.
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Relevant certifications such as Google Cloud Certified - Professional Cloud Architect or HashiCorp Certified: Terraform Associate are highly desirable. As a Cloud Solutions Architect specializing in Google Cloud Platform, you will play a pivotal role in designing, implementing, and optimizing cloud solutions to meet our business needs.
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4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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The team tackles problems of massive scale, with a critical data footprint that has bottomline business impact, resiliency & availability requiring the best techniques within Big Data Analytics and Machine Learning, all while providing a superior analyst experience on our tools.
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As a Capital One Senior Manager Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. The environment involves Batch Pipelines involving core technologies such as Scala, Python, Spark, EMR, Glue, Airflow, Step Functions, Delta, Uniform Catalog, Iceberg, DynamoDB amongst many others.
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4+ years of data warehousing experience (Redshift or Snowflake) 9+ years of experience in application development including Python, SQL, Scala, or Java. 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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tensorflow google cloud jobs Title: machine learning engineer Company: Cloudflare Inc
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