16 часов назад
Senior Data Scientist (AI Research & Reliability)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (AI Research & Reliability) (LLM/NLP): Building and evaluating agentic AI systems, conversational intelligence solutions, and production Python pipelines for millions of customer interactions with an accent on retrieval, memory, reasoning, and model reliability. Focus on designing evaluation frameworks, extracting insights from large-scale unstructured conversations, and translating applied AI research into scalable product experiences.
Location: Tel Aviv, Israel; flexible hybrid work model
Company
develops an AI-powered revenue intelligence platform that helps companies understand customer interactions, automate sales workflows, and improve revenue outcomes.
What you will do
- Translate customer and business needs into scalable AI solutions with Product and Engineering teams.
- Design, build, and evaluate sub-agents, tools, retrieval, and memory systems for AI Agents.
- Analyze large-scale conversation data and develop NLP- and LLM-based approaches for understanding intent and human interaction nuance.
- Build Python pipelines for proprietary datasets, model training and evaluation, and production integration of LLM-powered solutions.
- Design experiments and proof-of-concepts that guide product and architectural decisions.
- Improve AI quality, reliability, and user impact across millions of customer interactions.
Requirements
- M.Sc. in an exact science field.
- 3+ years of industry experience in data science or machine learning, including hands-on AI and NLP solutions.
- Familiarity with RAG, fine-tuning, agentic workflows, and LLM evaluation methods.
- Strong Python skills and experience with machine learning and data libraries such as pandas, NumPy, scikit-learn, PyTorch, Transformers, or LangChain.
- Experience designing experiments, analyzing results, and applying findings to product improvements.
- Strong analytical, problem-solving, communication, and cross-functional collaboration skills.
Culture & Benefits
- Flexible hybrid work combining work from home, on the go, and at the office.
- Ownership and autonomy in solving complex research and product problems.
- Opportunity to influence the full process from research through product implementation.
- Inclusive workplace focused on fairness, equal opportunities, and personal identity.
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