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Minimum of 3 years of experience with Cloud databases AWS Redshift, Snowflake, Azure SQL database, Google Cloud SQL or similar. + Exposure to E2E ML platform such as AWS Sagemaker, Azure ML studio, Google AI/ML, Datarobot, Databricks or similar a plus.
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Hands-on experience with at least one cloud platform (AWS or Google Cloud) and at least one modern big data product such as Databricks, Snowflake, and BigQuery. 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.
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Data warehouses like Amazon Redshift, Microsoft Azure Synapse Analytics, Google BigQuery. + In-depth understanding of GCP’s underlying architecture and hands-on experience with products like Big Query, Google Cloud Storage, Cloud SQL, Memory Store, Dataflow, Dataproc, Artifact Registry, Cloud Build, Cloud Run, Vertex AI, Pub/Sub, GCP APIs.
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Cloud Platforms: AWS, Twilio, Mailgun, Google Cloud Platform. 3+ years experience with modern languages (Python, Typescript, Java, Golang, C#, Rust, etc) Our product covers a large surface - powering marketing automation, omni channel communications, AI bots, sales and renewal CRM, agent and self-guided touring, tenant screening, advanced business intelligence capabilities, and much more.
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Experience with Google Cloud Platform MLOps tools (e.g., Vertex AI) Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform. Proficiency in Nvidia GPU frameworks (CUDA, cuDNN, TensorRT, NCCL) and HPC technologies.
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Drive the development of a comprehensive generative AI SDK, integrating Large Language Models like OpenAI and Google AI with popular programming languages such as Python, Java, c# etc., using platforms like AWS Bedrock or Azure Semantic Kernel or Google s Vertex AI.Own and drive extensive technical efforts across multiple teams, ensuring projects are executed seamlessly and meet high standards.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud. Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Familiarity with at least one of the following cloud providers: Amazon Web Services (AWS), Google Cloud Compute (GCP), or Microsoft Azure. As a Director, Software Engineering you will be responsible for leading a group of engineering managers and their respective engineering squads within the Identity Engineering organization.
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.
$120,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Identity Engineering delivers Consumer Identity and Access Management (CIAM) capabilities across The Walt Disney Company (TWDC) including but not limited to: Disney, ESPN, Hulu, Parks, and Cruises. Familiarity with Databricks and Apache Airflow products.
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Design, implement, and maintain data infrastructure using technologies such as Spark, Airflow, dbt, and Google Cloud Platform (GCP) services like Cloud Composer, Pub/Sub, and BigQuery and/or comparable AWS services.
$300,000 - $485,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Strong computer skills (MS Office, Google Apps, property management-related software, email, internet). Skills Required: Google Mail (GMail)Google DriveRealPageInternet UseBasic Computer SkillsManagementCustomer Service.
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Kirkland is home to companies such as GoDaddy, Google, Astronics and EvergreenHealth, and the college is within minutes from Microsoft and Nintendo. Kirkland is home to companies such as GoDaddy, Google, Astronics and EvergreenHealth, and the college is within minutes from Microsoft and Nintendo.
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Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes.
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Working knowledge of Native AWS Security tools (Macie, Guard Duty, Inspector, Control Tower) along with Google Cloud and Azure. Perform security assessments on cloud deployments in AWS, Azure, and Google.
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google job in Bellevue, WA
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