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Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch). Experience designing and deploying with one or more from the following ML frameworks: TensorFlow, PyTorch, JAX, Spark ML, etc.
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Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with IaC (e.g., using terraform). As a Generative AI Field Solutions Architect, you will support Google Cloud sales and engineering teams to incubate, pilot, and deploy Google Clouds industry leading AI/ML and Generative AI technology with AI natives, large enterprises, and early-stage AI startups.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Accomplished with DevOps Implement, manage, and use DevOps methodologies and toolsets (Chef, Terraform, Jira, Slack, Vault, Python, Cortex) Use DevOps methodology and toolsets to implement and support solutions in AWS, Azure, and GCP.
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Advanced understanding of DevOps practices and technologies (Docker, Kubernetes, CI / CD, release management) Experience with observability and APM tooling (Sumo Logic, Splunk, Sentry, New Relic, Datadog, etc.
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Integrating an open-source GPU software platform like AMD ROCm in Hadoop and in the Tensorflow-related ecosystem. This role is responsible for planning and executing on key data engineering initiatives spanning our work in artificial intelligence, machine learning, search, natural language processing and product analytics.
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Experience with Microsoft Azure cloud tools; Azure Administrator, DevOps Engineer, Support Engineer certification(s) a plus. Experience with Microsoft Azure cloud tools; Azure Administrator, DevOps Engineer, Support Engineer certification(s) a plus.
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Deep understanding of DevOps and tool sets required for a mature DevSecops implementation. Design, implement, and test cloud infrastructure using DevOps best practices. Worked and managed tools, services, products like Snowflake, Airflow, DBT and SageMaker.
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Principal Cloud DevOps Engineer, CMS-Xumo page is loaded Principal Cloud DevOps Engineer, CMS-Xumo Apply locations CA - Irvine, 5300 California Ave., 4th floor TX - Virtual - C+ - CST NC - Virtual - C+ IL - Virtual - D VA - Virtual - D+ time type Full time posted on Posted 3 Days Ago job requisition id R384223 Comcast brings together the best in media and technology.
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InterVision is an AWS Premier Partner and Microsoft Azure Gold Partner with a rapidly growing team of world class AWS and Azure Solution Architects, Cloud Engineers, DevOps Specialists, Security Specialists, Network specialists, Database specialists, Big Data specialists, and ML/AI data scientists.
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Extensive experience with Agile software development methodologies and tools such as Azure DevOps, TFS, and Jira. Extensive experience with Agile software development methodologies and tools such as Azure DevOps, TFS, and Jira.
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Proficient in Python and strong understanding of AI and machine learning algorithms and frameworks (e.g. Tensorflow, PyTorch) Backed by top-tier venture capital firms including Kleiner Perkins Caufield & Byers, Microsoft, and Google Ventures, Synack's mission is to leverage global security talent coupled with advanced technology to help enterprises discover security vulnerabilities before they become business problems.
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Familiarity with common machine learning libraries (e.g., scikit-learn, Tensorflow, etc. And truly unique to SiriusXM + Pandora, you'll be working with extremely rich and diverse interlinked music metadata, including annotations of our expert musicologists with the Music Genome Project's 450+ musical characteristics.
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Solid understanding of machine learning principles including advanced analytics tools (such as SAS, R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (such as TensorFlow, PyTorch) and ML techniques (such as random forest and neural networks.
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Machine learning background in Python; experience with PyTorch or TensorFlow preferred. DoorDash Careers | Senior Software Engineer, Machine Learning - Ads Intelligence Search Jobs About the Team Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery.
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