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As the Data Scientist, you will use Google Cloud Platform (GCP) tools and technologies, such as Vertex AI and BigQuery, to build, deploy, and monitor scalable and robust machine learning solutions.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Minimum 10 years in a technical role delivering projects in Data Analytics, Machine Learning, Cloud Computing Platforms, and Service-oriented architecture, with a preference for Large Language Model (LLM) technology.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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.
Full-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors.
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2+ years of industry experience in Data Science/Machine Learning as a data scientist/technical lead developing ML models with a business impact. Firsthand healthcare industry experience with data & languages such as e.g., SQL, Python, R, SAS using Databricks solutions within the cloud (AWS or Azure.
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Keyword: Cyber, Security, Compliance, I PCI, NIST, ISO, Compliance Manager, Google VPC, AWS Cloud, CISA, CISM, CISSP, AWS, Security Administrator. Experience with AWS, Google Virtual Private Cloud, Microsoft cloud services, OneDrive, SharePoint, and Visio, preferred.
$90,000 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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We’re doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc) and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
$224,600 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Design, build, and maintain data pipelines using Google Cloud Platform, Google BigQuery, Apache Airflow, Airbyte, HDFS, Kafka and Apache Spark. The ideal candidate should have extensive experience with Google Cloud Platform, Google BigQuery, Apache Airflow, Airbyte, HDFS, Apache Spark, and Hive.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
Full-timeRemoteExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Migration and support knowledge of cloud services including Amazon AWS, Microsoft Azure/Office 365, or Google. 5+ years of experience with Cloud SaaS operations with Microsoft Azure, AWS, OCI.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Platform Engineer/Architecture for Data Platforms either Cloud-based or On-Prem (Databricks, Snowflake, Superset, etc. Design, optimize, document, and implement the operational aspects in supporting the Cloud data platforms, including cost monitoring and optimizations, user security auditing.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Work as platform admin on Snowflake or Databricks on AWS i.e., Configuration, Data migration and security. Technical expertise in all aspects of Data platforms/products such as Snowflake, Databricks, Superset, Kubernetes, etc.
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Familiarity with AI frameworks and tools such as TensorFlow, PyTorch, and OpenAI. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud, Azure.
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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W-2 Employment, Medical, Dental, and HSA Benefits, 401K Retirement Plan, and GHA company stock ownership (ESOP) plan. Mission critical, online, vast E Commerce distribution network coast-to-coast warehouse locations support just-in-time delivery.
Full-timeExpandApply NowActive JobUpdated 3 months ago
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