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Experience with Big data technologies such as AWS EMR, Spark, Machine Learning (AWS SageMaker) and one or more cloud environments (AWS, Google and Azure) Experience with a modern Infrastructure as Code framework like Terraform, AWS Cloud Formation, AWS CDK, Pulumi, etc.
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Experience in Google Cloud Platform (GCP) CROSS-FUNCTIONAL COLLABORATION: Work closely with data scientists, data engineers, machine learning engineers, software developers, cloud engineers, product managers, and business analysts to deliver end-to-end solutions that are aligned with organizational objectives.
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Understanding or hands on experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx; Applying experience with cloud platforms, such as AWS, Google Cloud, or Microsoft Azure.
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Machine Learning Engineer - Google Cloud Platform (GCP) Shape the future with next-generation AI: Join us as a Machine Learning Engineer! As a Machine Learning Engineer specializing in Google Cloud Platform (GCP), you'll lead the charge in developing and deploying cutting-edge solutions that extract valuable insights and drive tangible business outcomes.
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Experience in the Design and implementation of AI/ML models and solutions using Google Cloud Platform technologies, including but not limited to Vertex AI, BigQuery, AI Platform, TensorFlow Extended (TFX), Dataflow, and Compute Engine.
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You will manage the successful delivery of Professional Services engagements to drive customer adoption of Google Cloud services (e.g., Google Compute Engine, Google Cloud Machine Learning, Google Kubernetes Engine, BigQuery, Google Workspace, Google Chrome, and many more.
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Experience with building and maintaining systems in Google Cloud Platform (or AWS and Azure) including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with big data technologies (e.g., Hadoop, Spark) and cloud services (e.g., AWS, Azure, Google Cloud Platform). Stay ahead of emerging technologies and methodologies in data engineering and machine learning.
$175,000 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Familiarity with cloud-based machine learning platforms (e.g., AWS, Google Cloud). Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch.
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Experience with data processing (e.g., Spark, BigQuery, DataProc), storage (e.g., S3, Google Cloud Storage), transport (e.g., Kafka, PubSub), and orchestration (e.g., Airflow, Luigi) Experience deploying cloud infrastructure (e.g., AWS, GCP) using containers and orchestration (e.g., Docker, Kubernetes), managed using infrastructure as code (e.g., Terraform, Ansible.
$256,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Google Cloud Platform (Google cloud bucket, Google cloud fusion, Google Big Query, Google Analytics) Centerfield Media, a leading Los Angeles-based online advertising agency, is looking for a talented Machine Learning Engineer to join us in building innovative advertising technology.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Understanding or proven experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx; Using natural language processing (NLP), machine learning (ML), Generative AI, and other AI technologies and platforms.
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Experience with cloud platforms such as AWS, Azure, or Google Cloud, and familiarity with distributed computing frameworks (e.g., Spark, Hadoop) Strong understanding of machine learning concepts and techniques, including deep learning, reinforcement learning, natural language processing, and computer vision.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Familiarity with cloud platforms that offer specific support for deploying and scaling generative models, such as Google’s Vertex AI, Azure’s AI tools, and AWS’s Machine Learning services.
$218,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Voltage Park is building a machine learning cloud infrastructure business from the ground up. A minimum of five years of experience in performance marketing using advertising platforms such as Google Ads, Facebook Ads Manager, LinkedIn Ads, Twitter Ads, etc.
$125,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
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