Senior Data Scientist / Generative AI Researcher

GigaSpaces

הרצליה
משרה קבועה
משרה מלאה

לפני 8 ימים
שלח בקשה בקלות

GigaSpaces is looking for a Senior Data Scientist / Generative AI Researcher to lead cutting-edge research and development of generative AI capabilities for enterprise use cases—particularly within real-time, low-latency environments. This is a strategic role with strong cross-functional impact on the future of our AI product roadmap.This role is ideal for someone with a proven track record in applied machine learning and generative models, combined with experience in high-performance, security-conscious, and mission-critical environments.About us: GigaSpaces is a pioneering software company building high-performance, scalable platforms for real-time data processing and analytics. As we expand our innovation efforts into AI-driven solutions and enterprise-grade generative AI, we are seeking exceptional minds to join our advanced research team.We believe the future of real-time applications lies in combining mission-critical infrastructure with the intelligence of modern AI.The position is Hybrid, located in Herzliya Pituach.Key Responsibilities

Lead the design and development of generative AI and LLM-based models tailored for enterprise data platforms.
Apply advanced ML/DL techniques (e.g., transformers, retrieval-augmented generation, embeddings) to real-world customer challenges.
Collaborate closely with product, engineering, and solution architecture teams to integrate AI capabilities into our core platform.
Conduct exploratory research, rapid prototyping, and contribute to patents or publications when applicable.
Build internal benchmarks and evaluation frameworks to assess performance, latency, and security of deployed models.
Stay current with academic and industry trends in generative AI, foundation models, and large-scale ML.

Required Qualifications

Technical Excellence: Experience in high-performance, mission-critical technical environments (e.g., AI, data science, cybersecurity, or large-scale data analysis).
Academic Background: B.Sc./M.Sc./Ph.D. in Computer Science, Mathematics, Physics, Electrical Engineering, or equivalent. Advanced degree preferred.
Industry Experience: 5+ years of hands-on experience in machine learning, with at least 2 years in generative AI or NLP.
Strong coding skills in Python and familiarity with ML/AI frameworks (TensorFlow, PyTorch, HuggingFace, etc.).
Deep understanding of deep learning architectures, transformer models, embeddings, and neural network training techniques.
Experience with high-scale data systems, data pipelines, and cloud environments (AWS, GCP, or Azure).
Exceptional communication and presentation skills, with a talent for engaging both technical and non-technical stakeholders.
Strong MLOps experience to help build, deploy, and maintain machine learning models in production.

Nice-to-Haves

Background in elite technical environments – such as leading R&D teams in industry, academic research labs, or technological units in the IDF (e.g., Unit 8200, 81, Talpiot, Mamram) – an advantage.
Experience with fine-tuning LLMs (e.g., LLaMA, Mistral, Falcon) or training foundation models from scratch.
Publications or contributions to AI/ML open-source communities.
Prior work on enterprise AI applications, especially in financial services, telecom, or defense sectors.
Experience with real-time data processing systems (e.g., Kafka, Spark, or GigaSpaces InsightEdge).

Why Join GigaSpaces?

Work at the intersection of cutting-edge AI and real-time enterprise data systems.
Help shape the next generation of AI-native platforms for the world’s leading organizations.
Join a high-talent team with a fast-paced, mission-driven culture.
Competitive compensation, stock options, and benefits package.

GigaSpaces