Full Stack Data Scientist
- רמת השרון
- הכשרה
- משרה מלאה
- Research and implement state-of-the-art machine learning solutions to protect AI-powered applications, agentic workflows, and intelligent systems from sophisticated threats
- Stay at the forefront of AI security research, identifying and adapting emerging ML techniques and algorithms for practical cybersecurity applications
- Model Development & Deployment
- Design, train, and deploy machine learning models at enterprise scale, spanning classical ML algorithms to advanced LLM pipelines
- Optimize model performance across multiple dimensions including accuracy, latency, and computational cost
- Apply MLOps and LLMOps best practices and methodologies to enhance security-focused AI models
- Engineer robust data ingestion and inference pipelines capable of handling high-throughput production workloads
- Develop and maintain scalable services using Python and FastAPI frameworks
- Implement streaming data architectures and CI/CD processes that ensure models remain current and reliable in dynamic threat environments
- Partner closely with AI researchers, engineering managers, and product teams to transform innovative concepts into reliable, scalable ML systems
- Collaborate with Product, Engineering, and Security teams to translate complex analytical insights into actionable, production-ready solutions
- Drive rapid iteration cycles from initial prototype through full production deployment
- 5+ years of combined experience in machine learning engineering and data science, with demonstrated expertise in deploying ML solutions in production environments
- Strong background working with Large Language Models, including hands-on experience with training, fine-tuning, and deployment
- Experience in cybersecurity or security analytics is highly preferred but not strictly required for exceptional candidates with strong AI backgrounds
- Advanced proficiency in Python programming, with extensive experience using core ML libraries including scikit-learn, PyTorch, and Transformers
- Hands-on experience with LLM frameworks and tools such as LangChain, Hugging Face, OpenAI APIs, and vector databases
- Proficiency with data processing technologies including pandas or Polars, SQL and NoSQL databases for large-scale data handling
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies including Docker
- Strong background in API development using FastAPI, microservices architecture, and building scalable backend systems
- Proven ability to translate research concepts into production-grade systems with appropriate monitoring, testing, and reliability measures
- Experience with MLOps practices including model versioning, experiment tracking, automated testing, and deployment pipelines
- Strong analytical and problem-solving skills with attention to detail and system reliability
- Track record of contributing to open source projects, publishing research, or technical writing
- תכנון ואינטגרציה של מערכות הנעה ובקרה אלקטרוניות
- עבודה מול לקוחות oem מובילים
- פיתוח אלגורית...
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