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Google / CCaaS Data EngineerTata Consultancy Services • Florida, New York, United States
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Google / CCaaS Data Engineer

Tata Consultancy Services
  • US
    Florida, New York, United States
  • US
    Florida, New York, United States
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À propos

•8+ years of commercial software development experience using Java and/or Python. •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. •Architect 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. •Architect, 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 leading 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 explain ability. •Experience with Agile development, CI/CD, DevOps and Observability. •Hands on experience with Kafka, Relational, and/or NoSQL databases. •Experience in Data Architecture design and modeling should possess strong skills in designing and modeling complex systems and architectures. •Understanding of data structures, algorithms, and design patterns •Looks proactively beyond the obvious for continuous improvement opportunities. •Leadership and communication: lead teams and collaborate with stakeholders, so strong leadership and communication skills are essential. •Excellent communication skills, with the ability to influence at all levels across functions, from both technical and non-technical perspectives alike. •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.
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  • Florida, New York, United States

Compétences linguistiques

  • English
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