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Knowledgeable in cloud computing tools and solutions (Preferred Kubernetes, CSP Portals and Console UI’s listed above, Azure Security Center and Portal ). Escalation / Advanced Trouble-shooting -> The Cloud Security Engineer will be expected to review, analyze, coordinate, and troubleshoot any issues escalated and assigned to his or her care within the scope of the VEC CIS team and cloud computing technologies.
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Across IBM Research, we realize the power and potential to accelerate discovery with our partners and clients by combining the power of high performance computing, AI, and Quantum, all integrated through the hybrid cloud.
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At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Today, we are pioneering the most promising and disruptive technologies that will transform industries and society, including the future of AI, Blockchain and Quantum Computing.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform (GCP) Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional.
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This individual will possess a deep understanding of AI principles, Google Cloud Computing, and enterprise architecture. Lead the design and development of AI solutions that address specific business challenges, utilizing GCP AI services such as Vertex AI, BigQuery Client, Cloud AutoML, and TensorFlow.
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Experience working with relevant cloud security frameworks/guidelines (CSA CCM, PCI Cloud Supplement, ISACA Cloud Computing Audit, CIS, NIST) Knowledge and experience with Cloud Security Posture Management tools (Azure Policy, AWS Config, Prisma Cloud.
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2 + years of experience with developing microservices and implementing CI/CD pipelines via cloud computing services like (Google Cloud Platform preferred), AWS, Azure or similar. Design, build, deploy machine learning models and microservices on the Google Cloud Platform.
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Google Certified Cloud Architect, Google Certified Data Engineer, AWS Certified Solutions Architect, Azure Solutions Architect. A career in our Cloud and Network Architecture practice, within Cloud Computing and Networking services, will provide you with the opportunity to focus on the joint business relationship between PwC and Google, HP, Microsoft, Oracle, SAP, and other cloud based platforms that bring new and innovative services to some of the largest companies.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 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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Designing and developing large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker, Cloud IAM, etc.
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Familiarity with REST APIs and Cloud architectures (Google Cloud Platform) As a Google Vertex Full Stack Software Engineer, you will be responsible for developing and implementing machine learning models using Google Vertex AI and developing consumable API microservices using Typescript, Node.js, Express.
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2+ years experience implementing data solutions on the Databricks Data Intelligence platform, to include Delta Lakes. As a Senior Consultant in our AI & Data team, you will bring strong technical, functional and project management solutions to clients with a focus on achieving a high level of performance and quality through delivery of both agile and traditional projects to provide exceptional business value to users.
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We are seeking a Full-Stack Software Engineer (Google Vertex) to join our team and transform ford.com into a customer engagement platform with modern designs and best-in-class experience. You will work closely with cross-functional teams, including UX/UI designers, business analysts, and product managers, to create innovative digital solutions that drive engagement and increase customer satisfaction.
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Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient AI solutions. Familiarity with Front-end web development technologies (React, Vue.js, Angular, etc.
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cloud computing jobs Title: solutions engineer Company: 1e
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