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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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Genpact is currently seeking a GCP Data & Analytic Technology Advisor for our growing Google Cloud Advisory practice. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.Inviting applications for the role of Assistant Vice President – Google Cloud Advisory practice.
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Position SummaryAs a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools.
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Job Summary: The AWS Cloud Engineer will be responsible for developing and managing our cloud infrastructure on AWS. This includes designing cloud-based solutions, deploying applications, managing storage and networking, and ensuring the overall health and performance of the cloud environment.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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Our main tech stack includes Snowflake, Apache Airflow, AWS cloud infrastructure (e.g., Kinesis, Kubernetes/EKS, Lambda, Aurora RDS PostgreSQL), Python and Typescript. On-site fitness center at the Home Office in Columbia, Missouri, complete with weightlifting machines, cardio equipment, group fitness space, racquetball courts, a climbing wall, and much more.
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Experience with Data Ops (VPCs, cluster management, permissions, Databricks configurations, Terraform) in Cloud Computing environments (e.g., AWS, Azure, GCP) and associated cloud data platforms, cloud data warehouse technologies (Snowflake/Redshift), and Advanced Analytical platforms (e.g., Dataiku and Databricks.
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Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture. Experience with microservices architectures and constituent technologies (Flask, gokit, Spring Cloud.
$302,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with AWS, Microsoft Azure or Google Cloud Platform configuration and administration of security features and services (including identity and access management, networking, firewalls, encryption.
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As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers.
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Additional cloud-based certifications to credentialize but do not currently meet the rigor of the certification requirement above: CCSP – CCSK – Certificate of Cloud Security Knowledge CCAK – Certificate of Cloud Auditing Knowledge Microsoft Certified: Azure Fundamentals AWS Certified Cloud Practitioner Google Cloud Digital Leader What we look for We’re looking for passionate leaders with strong vision and a desire to stay on top of trends in the risk industry.
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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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Title: Office 365 Security Engineer Responsibilities: Design and implementation of digital security controls, managing access, and protecting data in cloud networks and hybrid environments.
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Understanding or hands on experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx; Applying experience with cloud platforms, such as AWS, Google Cloud, or Microsoft Azure.
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What you'll be responsible for: As a Senior Site Reliability Engineer at Circle, you will design, build, and maintain Circle's infrastructure estate to meet the growing worldwide customer base on public cloud providers across multiple regions.
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site engineer google cloud jobs Title: site reliability engineer in Chicago, IL
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