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NLP Data Science Researcher at VERINT SYSTEMS SINGAPORE PTE LTD
Herzliya, Tel-Aviv District, Israel -
Full Time

Start Date

Immediate

Expiry Date

18 Aug, 26

Salary

0.0

Posted On

20 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Natural Language Processing, Machine Learning, Deep Learning, Large Language Models, PyTorch, TensorFlow, Agentic AI, Transformer-based Models, Algorithmic Thinking, Production-quality Systems, Experimental Design, System-level Design, Cloud Platforms, Speech Analytics, Conversational AI, Python

Industry

Software Development

Description
ABOUT US Verint is a global leader in Customer Experience (CX) Automation, helping iconic brands deliver measurable AI-driven business outcomes. With 30+ years of experience, our Open Platform and AI-powered solutions support ~10,000 organizations across 175+ countries, spanning industries such as financial services, healthcare, utilities, technology, and government. The Verint Israel site in Herzliya is our largest R&D center. We combine the strength of a global organization with the agility of a dynamic local team. Our hybrid work model moves fast and leverages cutting-edge technologies including NLP, Machine Learning, Speech & Text Analytics, Generative AI, and Agentic AI architectures to improve the daily lives of millions worldwide.   ABOUT THE ROLE Join our Analytics Research team and help shape next-generation Customer Engagement and Interaction Analytics solutions. You will design, research, and productionize advanced NLP and agent-based AI capabilities that autonomously reason, plan, and act across complex customer interaction workflows. You’ll work end-to-end—from foundational research and rapid experimentation to scalable deployment—building systems that combine LLMs, tools, memory, and orchestration to deliver trusted, enterprise-grade AI used by customers worldwide.

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Responsibilities
Design and productionize advanced NLP and agent-based AI capabilities for customer interaction workflows. Work end-to-end from foundational research and experimentation to scalable enterprise-grade deployment.