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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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AWS SageMaker (for end-to-end machine learning development, training and scalable machine learning in a managed cloud enviornment) TensorFlow, PyTorch, Keras (for deep learning and complex machine learning, including neural networks and advanced AI.
$75 an hourRemoteExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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The Manager must be familiar with Google Cloud Platform (GCP) and be technically proficient in BigQuery and dbt Cloud. Seeking a Data Engineering and Machine Learning Ops Manager to join our growing Data and Analytics team.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
$218,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our cloud-based environment uses Google Workspace, Zoom, Cisco, Palo Alto, Okta, and Jamf, with a primary user base on Mac systems and a transition from Windows underway. Experience with Google Workspace, Okta, Atlassian products, Zoom, and other cloud IT systems.
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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.
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Extensive experience with Google Cloud Platform (GCP), including Vertex AI, Terraform, Composer, and Kubeflow. The position will be a US based remote opportunity with occasional travel to Nashville, TN. This role focuses on applied machine learning engineering, particularly leveraging GCP infrastructure and Vertex AI to scale machine learning operations (MLOps.
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5+ years’ experience in IT risk management, IT Audit, cloud/infrastructure technologies, information technology (IT) consulting/support, software development/support, technology solutions, practice development, architecture, and/or consulting.
$101,930 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Role Overview: We are looking for a seasoned Principal / Director Machine Learning Engineer with over 10 years of experience in radar and RF signals, video and image processing, or classification, along with deep expertise in real-time signal processing and embedded systems.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Expertise in IT security principles, particularly related to cloud infrastructure (Azure, AWS, Google Cloud), networks, databases, application security, firewalls, multi-factor authentication (MFA), and identity/access management.
$175,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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TDD, CI/CD, Distributed Computing, Linux Stack, MLOps, Machine Learning Operations, HPC, High Performance Computing, AWS, GCP, Cloud, Trading, Financial, Remote, Work From Home, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago RecruitingLooking to hire for similar positions in Chicago, IL or in other cities.
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Investigate & solve problems relating to software enabled business function modernization, hosting services such as infrastructure, enterprise managed services, Robotic Process Automation (RPA), Machine Learning (ML), Artificial Intelligence (AI), data support to the tactical edge, and optimizations of commercial cloud hosted systems.
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Experience in utilizing cloud-based data governance solutions, including Open Policy Agent (OPA), Gatekeeper, AWS Data Governance tools, Google Cloud Data Catalog/DataPlex, or Microsoft Azure Purview, to manage and govern data across various cloud environments.
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I'm supporting a brilliant company in Houston that are building a brand new Data and Analytics team to utilize cutting edge technology focused around Machine Learning and Artificial Intelligence.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago
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