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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc.
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Working with lines of business to translate/align business requirements for delivery of the ADS services. Learn more about this role ADS Solution Engineer Lead. 7 - 10 years for Infrastructure engineering hands on experience with F5 Networks products (LTM/GTM/ASM/AFM/SSLO.
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We leverage leading technology stacks like Microsoft Azure, AWS, Google Cloud, Microsoft Power BI, Anaplan, Qlik, Tableau, SAS, Cloudera, Redhat and many others - to match your business goals with optimum technology solutions for all your stakeholders.
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PREFERRED REQUIREMENTS:RF design, simulation or modeling experience using AWR or ADS simulation software. Perform Model validation tasks such as measuring circuits and back fitting to models; assist in the design and modeling of high-frequency package designs in addition to designing printed circuit board designs required for testing.
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Public cloud, artificial intelligence, machine learning, mobile, Ability to evaluate current and emerging technologies to recommend the best solutions for the future state architecture Experience of Atlassian Suite (Jira, Confluence, Atlas, Jira Align, In-depth knowledge Amazon Web Services, Google Cloud Platform, or Microsoft Azure secure architecture experience Preferred qualifications, capabilities, and skills CEH, LPT, OSCP, GPEN, GXPN, and/or CompTIA PenTest.
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Highly experienced Full stack Engineer with expertise in cloud engineering, data engineering, and data warehousing, particularly within the AWS and google cloud ecosystem. Create automated reporting solutions and interactive dashboards using Tableau, Looker, and Power BI. Conduct data quality checks and ensured data integrity across multiple data pipelines.
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Develop and maintain PDKs/ADKs and support infrastructure for use with Keysight’s Advanced Design System (ADS), Cadence's Virtuoso and MicroWave Office (MWO) for the design of custom Radio Frequency & mixed signal Integrated Circuits (RFICs), and custom laminates/modules/packages.
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Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc. Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc.
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Must be highly organized and computer literate in all basic operating systems, Word, Microsoft office, electronic fax, EMR, excel, Google dive, Google DOCs, multi phone lines business phone, availity, payor access portals, optum, TriZetto.
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Created automated reporting solutions and interactive dashboards using Tableau, Looker, and Power BI. Conducts data quality checks and ensured data integrity across multiple data pipelines. Automates configuration management using tools like Ansible and Terraform.
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Strong experience with Google Ads and Facebook Ads, including PPC campaign management. Pay-Per-Click (PPC) Ads Management: Create, manage, and optimize PPC campaigns on Google and Facebook to maximize ROI. Landing Page Creation: Design and develop landing pages that integrate seamlessly with our Client Relationship Management (CRM) software using Go High Level.
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Added Bonus If You HaveBachelor’s degree in Information Systems, Computer Science, related discipline or equivalent work experienceExperience using Jira & ConfluenceExperience working with Adobe Analytics, Google Analytics or other web analytics data.
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Experience in building, configuring, operating and/or securing cloud infrastructure and applications in Azure or AWS, either with native cloud service provider capabilities or tools such as Terraform, Ansible, CloudFormation, Azure Resource Manager, Google Cloud Deployment Manager, or CloudBridge.
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