ironquill.tech/board

$ cat jobs/senior-data-engineer-cx-nice-9dbf45264575.json

Senior Data Engineer, CX

NICE·APAC·Australia·senior
awsml
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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. About the Job NiCE is looking for a Senior Data Engineer to join the team working on solutions in NiCE’s CX Engineering team – in particular workforce management. The ideal candidate thrives in a fast-paced, collaborative environment, partnering with engineers, data scientists, and product teams to build real-time, production-grade solutions. You bring deep hands-on AWS experience and want to apply it to cutting-edge problems, including integrating large language models into customer-facing agentic workflows. Success is measured by enabling ML and feature teams to ship scalable, reliable, and easy-to-use machine learning and AI workflows that power the customer experience.You’ll have room to drive innovation at both the application and infrastructure level. We’re looking for a proactive problem-solver who takes ownership, builds trust, and works well across teams and backgrounds. Role Description Partner with ML engineers, data scientists, and product engineering teams to translate business needs into technical solutions and ship production features across Playvox WFM and CoPilot for WFM. Build and maintain data pipelines to prepare, and ready the data for consumption in features. Design, build, and maintain scalable machine learning and generative AI workflows, including integrating Amazon Bedrock and proprietary/foundation models into agentic, customer-facing features. Automate steps across the ML/AI lifecycle — data preparation, model training, inference, deployment, and monitoring. Collaborate cross-functionally to ensure applications work seamlessly end to end, this includes developing the APIs or UX to help bring the feature to life. Experience with AI-assisted engineering

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