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Practical experience designing conversational IVR solutions in tools such as Genesys Architect, Dialog Engine, Google Dialogflow, Amazon Lex and Nuance Mix. In this role, candidate will get exciting opportunities to work on the latest AI technologies to provide top class CX using in-house Genesys bots as well as - Google, Amazon, Nuance etc.
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Experience with data quality assurance and testing on GCP. " Proficiency with GCP data services (BigQuery; Dataflow; Data Fusion; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage.
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At least 2 years experience with cloud services (AWS, Azure, Google Cloud) and big data technologies. Proven experience as a Data Architect, Data Engineer, or similar role in a complex IT environment.
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Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. Experience leading data migration projects from legacy systems to cloud-based platforms.
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Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). As an Artificial Intelligence and Machine Learning (AIML) Architect, you will be responsible for designing and implementing cutting-edge AI and ML solutions to address complex business problems.
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Deep knowledge of cloud computing services (e.g., AWS, Azure, Google Cloud) and designing cloud-native solutions. Relevant professional certifications (e.g., TOGAF, AWS Certified Solutions Architect) are advantageous.
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Experience with cloud Google Cloud Platform (GCP) Architect. We are responsible for crafting the developer experience for Google Cloud Platform (GCP) developers in the Data Analytics space, including BigQuery, Bigtable, and others.
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Experience with Google Cloud PlatformExperience with healthcare dataExperience managing managers and principal-level engineers. - Extensive experience with cloud platforms (e.g., AWS, Azure, or GCP) for scalable and secure data solutions.
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Demonstrable understanding of one or more cloud providers: Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure (certification is preferred) 2-5+ years as a Solutions Engineer (preferred), Solutions Architect (preferred), Sales Engineer (preferred), Implementation Consultant, Support Engineer, Site Reliability Engineer, or a Software Developer with experience leading projects and/or working with customers.
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Sumo Logic enables customers to deliver reliable and secure cloud-native applications through its Sumo Logic SaaS Analytics Log Platform, which helps practitioners and developers ensure application reliability, secure and protect against modern security threats, and gain insights into their cloud infrastructures.
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