Senior Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Scientist (AI): Developing end-to-end ML and agentic AI systems for workforce management solutions with an accent on GenAI, time-series forecasting, and mathematical optimization. Focus on deploying production-level models in high-stakes environments and orchestrating complex agentic AI flows.
Location: Must be based in Raanana, Israel (Hybrid: 2 days in office, 3 days remote).
Company
is a global software leader in customer experience, financial crime prevention, and public safety, serving over 25,000 businesses worldwide.
What you will do
- Develop end-to-end ML systems to train and serve production-level models.
- Deploy GenAI and agentic AI systems to improve existing solutions or create new services.
- Design and build agentic AI flows including tool use, multi-step reasoning, and orchestration.
- Forecast work volume and optimize shift schedules using time-series methods and mathematical optimization.
- Integrate new features into large-scale software systems.
- Own projects end-to-end while leading team members through planning and delivery.
Requirements
- 5+ years of experience as an applied researcher or research engineer.
- Hands-on experience with Python and PyTorch.
- Experience with ML-Ops and cloud deployment (AWS).
- Experience with mathematical optimization (e.g., Gurobi).
- Hands-on experience designing and building agentic AI flows.
- Must be based in or able to work from Raanana, Israel.
hirify.global-to-have"> to have
- MSc in Computer Science or equivalent engineering field.
- Experience with HuggingFace, scikit-learn, pandas, and SQL.
- Containerization skills with Docker.
- LLM-specific experience: RAG, fine-tuning, and evaluation frameworks.
Culture & Benefits
- Flexible -FLEX hybrid work model.
- Fast-paced, collaborative, and creative environment.
- Opportunities for internal career growth across multiple disciplines and locations.
- Work on market-leading solutions used by Fortune 100 corporations.
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