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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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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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Google AdX, BigQuery, Machine Learning, and Programmatic Advertising. Conducting experiments on state-of-the-art machine learning models using Tensorflow for real world, large scale problems.
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Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning.
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3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
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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, mentoring other members of the engineering community.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Familiar with one machine learning development framework such as PyTorch, TensorFlow, MXNet. We are looking for a machine learning engineer with strong programming and development skills and experience with machine learning.
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Stay up-to-date with the latest advancements and trends in machine learning and data science and apply them to evolve the measurement system. Build from scratch a suite of data science and machine learning solutions that will make up the core of Square’s next generation attribution system.
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The Machine Learning Engineer III will be a member of the Learning and Active Perception (LEAP) group in AV’s MacCready Works division and develop a variety of innovative computer vision (detection, classification, localization, and tracking) and other analytics solutions for defense and commercial applications.
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Leverage data science frameworks like TensorFlow, PyTorch, and Spark ML to build robust and scalable machine learning solutions. Join the Anheuser-Busch NAZ Tech Data and Analytics Team as a Machine Learning Engineer.
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep.
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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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We are seeking a Backend Engineer with a strong foundation in AWS, cloud service deployment, and machine learning (ML) model deployment, including large language models (LLMs.
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tensorflow learning google cloud jobs Title: machine learning engineer Company: Cloudflare Inc
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