| No || Looking for CCaaS Google Data Engineer || Charlotte, NC || TCS at Charlotte, North Carolina, USA |
| Email: [email protected] |
|
http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=3461761&uid=9fa0acb3b06f40b2b9a5aebc71c13446 From: shweta, Quantum World Technologies Inc [email protected] Reply to: [email protected] Hello, My name is Shweta Sharma and I am a Staffing Specialist at Quantum World Technologies Inc. I am reaching out to you on an exciting job opportunity with one of our clients. Role: CCaaS Google Data Engineer Location: Charlotte, NC - onsite Duration: 6 months Pay Scale/Hourly Rate: DOE " 4+ years of commercial software development experience. Design and implement scalable CCaaS and IVA solutions leveraging leading Cloud and enterprise conversational AI / customer service solutions including conversational IVR design, NLU/NLP modeling, intent and flow orchestration, webhook integrations, speech-to-text/text-to-speech. Develop secure, resilient cloud infrastructure on major cloud services provider using services such as GKE, Cloud Run, Cloud Functions, Pub/Sub, Apigee, and BigQuery, implementing IAM, VPC design, encryption, multi-region high availability, and Infrastructure as Code (Terraform) to support enterprise-grade customer experience platforms. Implement, and optimize CCaaS solutions, including ACD (Automatic Call Distribution), skills-based routing, dialer, omnichannel capabilities, and campaign management, ensuring scalable, secure, and compliant contact center operations. Have experience in integrations and migrations leveraging CCaaS APIs and telephony capabilities, including CRM/CTI integrations, webhooks, SIP/WebRTC, security configuration, and transition from legacy contact center platforms to Cloud based solutions. Design, develop, and maintain data pipelines/models/datasets to support CCaaS data platforms while ensuring data quality, reliability, security, and compliance. Experience building and integrating AI/ML solutions such as Xgboost, SARIMA, Prophet, prompt engineering and TensorFlow into production systems. Understanding model lifecycle including evaluations, hyperparameters, tuning, and ongoing monitoring, model governance, bias mitigation, and explainability. Experience with Agile development, CI/CD, DevOps and Observability. Hands on experience with Kafka, Relational, and/or NoSQL databases. Understanding of data structures, algorithms, and design patterns Looks proactively beyond the obvious for continuous improvement opportunities." "Exceptional communication and stakeholder management skills, with the ability to collaborate with cross-functional teams, including developers, business analysts, and quality assurance professionals, to drive project success." Contact center as a Service, CCaaS, Google CCAI, Five 9 Role Descriptions: 4+ years of commercial software development experience. Design and implement scalable CCaaS and IVA solutions leveraging leading Cloud and enterprise conversational AI / customer service solutions including conversational IVR design| NLU/NLP modeling| intent and flow orchestration| webhook integrations| speech-to-text/text-to-speech. Develop secure| resilient cloud infrastructure on major cloud services provider using services such as GKE| Cloud Run| Cloud Functions| Pub/Sub| Apigee| and Big Query| implementing IAM| VPC design| encryption| multi-region high availability| and Infrastructure as Code (Terraform) to support enterprise-grade customer experience platforms. Implement| and optimize CCaaS solutions| including ACD (Automatic Call Distribution)| skills-based routing| dialer| omnichannel capabilities| and campaign management| ensuring scalable| secure| and compliant contact center operations. Have experience in integrations and migrations leveraging CCaaS APIs and telephony capabilities| including CRM/CTI integrations| webhooks| SIP/WebRTC| security configuration| and transition from legacy contact center platforms to Cloud based solutions. Design| develop| and maintain data pipelines/models/datasets to support CCaaS data platforms while ensuring data quality| reliability| security| and compliance. Experience building and integrating AI/ML solutions such as Xgboost| SARIMA| Prophet| prompt engineering and TensorFlow into production systems. Understanding model lifecycle including evaluations| hyperparameters| tuning| and ongoing monitoring| model governance| bias mitigation| and explainability. Experience with Agile development| CI/CD| DevOps and Observability. Hands on experience with Kafka| Relational| and/or NoSQL databases. Understanding of data structures| algorithms| and design patterns Looks proactively beyond the obvious for continuous improvement opportunities. Essential Skills: 4+ years of commercial software development experience. Design and implement scalable CCaaS and IVA solutions leveraging leading Cloud and enterprise conversational AI / customer service solutions including conversational IVR design| NLU/NLP modeling| intent and flow orchestration| webhook integrations| speech-to-text/text-to-speech. Develop secure| resilient cloud infrastructure on major cloud services provider using services such as GKE| Cloud Run| Cloud Functions| Pub/Sub| Apigee| and Big Query| implementing IAM| VPC design| encryption| multi-region high availability| and Infrastructure as Code (Terraform) to support enterprise-grade customer experience platforms. Implement| and optimize CCaaS solutions| including ACD (Automatic Call Distribution)| skills-based routing| dialer| omnichannel capabilities| and campaign management| ensuring scalable| secure| and compliant contact center operations. Have experience in integrations and migrations leveraging CCaaS APIs and telephony capabilities| including CRM/CTI integrations| webhooks| SIP/WebRTC| security configuration| and transition from legacy contact center platforms to Cloud based solutions. Design| develop| and maintain data pipelines/models/datasets to support CCaaS data platforms while ensuring data quality| reliability| security| and compliance. Experience building and integrating AI/ML solutions such as Xg boost| SARIMA| Prophet| prompt engineering and TensorFlow into production systems. Understanding model lifecycle including evaluations| hyperparameters| tuning| and ongoing monitoring| model governance| bias mitigation| and explainability. Experience with Agile development| CI/CD| DevOps and Observability. Hands on experience with Kafka| Relational| and/or NoSQL databases. Understanding of data structures| algorithms| and design patterns Looks proactively beyond the obvious for continuous improvement opportunities. Skills: Digital : Google Data Engineering Warm Regards Technical Recruiter Shweta Sharma Contact: 805-931-3020 Email: [email protected] Quantum World Technologies Inc. Keywords: continuous integration continuous deployment artificial intelligence machine learning access management information technology North Carolina No || Looking for CCaaS Google Data Engineer || Charlotte, NC || TCS [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=3461761&uid=9fa0acb3b06f40b2b9a5aebc71c13446 |
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| 02:11 AM 19-Jun-26 |