Job Description Help for Partial Job Description. Opens a new window. Skills
- Data
- CCaaS
- Summary kills Job Details Must have Tech Good to have Tech Google Cloud Platform; CI/CD; Maven; Jenkins; Git (GitHub, GitLab, BitBucket, SVN); SQL; RDBMS; Java; Kafka 1.
4+ years of commercial software development experience. Experience 4+ Years Good knowledge with Understanding of model lifecycle,Good understanding of data structures, algorithms and design patterns 2. 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, and speech-to-text/text-to-speech.
Skills:
CCaaS/CTI/CRM, IVA, IVR, Java, Microservices, Springboot,Kafka, AI/ML(Sarima/Prophet), Release Management(Maven/Git) 3. Develop secure, resilient cloud infrastructure on major cloud service providers 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. 4. 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. 5. 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. 6. Design, develop, and maintain data pipelines, models, and datasets to support CCaaS data platforms while ensuring data quality, reliability, security, and compliance. 7. Experience building and integrating AI/ML solutions such as XGBoost, SARIMA, Prophet, prompt engineering, and TensorFlow into production systems. 8. Understanding of the model lifecycle, including evaluations, hyperparameter tuning, ongoing monitoring, model governance, bias mitigation, and explainability. 9. Experience with Agile development, CI/CD, DevOps, and observability. 10. Hands-on experience with Kafka, relational databases, and/or NoSQL databases. 11. Understanding of data structures, algorithms, and design patterns. 12. Proactively identifies continuous improvement opportunities beyond the obvious. Employers have access to artificial intelligence language tools ("AI") that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
