דרושים » דאטה » Senior Data Scientist

we are looking for an experienced Senior data Scientist specializing in NLP and Large Language Models (LLMs) to join our AI & data practice. In this role, you will lead the design and development of advanced NLP and Generative AI solutions, including on-premise Hebrew LLM systems, for enterprise clients across multiple industries. You will work closely with data engineers, software architects, and AI specialists to build production-grade AI systems that power decision-support tools, intelligent interfaces, and next-generation applications
Generative AI & NLP Solutions
* Lead the development of Hebrew LLM-based solutions, including on-premise deployments for enterprise environments.
* Design and implement NLP pipelines for:
* Text classification
* Sentiment analysis
* Named Entity Recognition (NER)
* Develop Generative AI applications supporting decision-support systems and intelligent user interfaces
* Build and optimize semantic search, embeddings, and Retrieval-Augmented Generation (RAG) architectures
* Implement multi-agent and long-chain LLM workflows for complex reasoning tasks. Architecture & Technical Leadership
* Provide technical leadership and architectural guidance for AI/ML solutions.
* Collaborate with data engineers, MLOps, and software teams to deploy scalable NLP models into production environments.
* Design efficient text representations and feature engineering pipelines
* Ensure solutions meet enterprise-level performance, security, and scalability requirements Innovation & Client Impact
* Analyze large-scale datasets and deliver data -driven insights that improve business processes.
* Stay updated with the latest advancements in NLP, LLMs, and Generative AI ecosystems
* Contribute to innovation initiatives and knowledge sharing within our AI community.
* Work closely with enterprise clients, translating business needs into AI-driven solutions.

Were looking for a data scientist to join our team and further improve fraud detection capabilities.
This position involves analyzing evolving fraud patterns, developing and deploying advanced prevention components, and leveraging domain expertise, data tools, and modern AI methods to stay ahead of emerging threats.

What you'll do:
Mine massive data sets to uncover fraud patterns and prevention opportunities.
Develop and productionize large-scale ML, DL, and AI models to detect and prevent fraudulent activity.
Translate business and product needs into scientific, explainable, and high-impact solutions.
Design and maintain end-to-end ML pipelines - from data ingestion and feature engineering to serving and monitoring in production.
Collaborate closely with product, engineering, and business teams to drive data-driven decisions.
Stay current with AI and ML research and evaluate new technologies to strengthen Protect360s algorithms.