Senior AI&ML Researcher (GenAI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior AI&ML Researcher (GenAI): Developing the next generation of Workforce Management solutions for contact centers with an accent on GenAI, agentic AI, and mathematical optimization. Focus on building end-to-end ML systems, designing agentic AI flows, and optimizing shift schedules in high-stakes production environments.
Location: Israel - Raanana (Hybrid: 2 days office, 3 days remote)
Company
is a global market leader in AI-powered customer experience software, serving over 25,000 businesses including 85 of the Fortune 100.
What you will do
- Develop end-to-end ML systems to train and serve production-level models in high-stakes environments.
- Deploy GenAI and agentic AI systems to enhance existing solutions or create new services from scratch.
- 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 complex AI features into large existing software systems across multiple disciplines.
- Own projects end-to-end, leading planning and delivery while conducting unstructured evaluation processes.
Requirements
- 5+ years of experience as an applied researcher or research engineer.
- Strong hands-on Python development skills for model training, data carpentry, and analysis.
- Practical experience with PyTorch.
- ML-Ops and cloud experience, specifically deploying models on AWS or similar providers.
- Experience with mathematical optimization tools such as Gurobi.
- Proven track record of designing and building agentic AI flows.
hirify.global-to-have"> to have
- MSc in Computer Science or an equivalent engineering field.
- Experience with HuggingFace, scikit-learn, pandas, and SQL.
- Knowledge of containerization using Docker.
- LLM-specific expertise including RAG, fine-tuning, and evaluation frameworks.
Culture & Benefits
- -FLEX hybrid model providing maximum flexibility (2 days office, 3 days remote).
- Collaborative and creative environment working alongside top-tier industry experts.
- Extensive internal career opportunities across various roles, domains, and global locations.
- Opportunity to work for a NASDAQ-listed innovation powerhouse.
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