Senior Cybersecurity Data Specialist

1 week ago

Tel AvivYafo, Israel beBeeDataScientist Full time
About the Role

As a seasoned Data Scientist, you will be responsible for leading projects involving cutting-edge technologies like Large Language Models (LLMs), deep learning, and neural networks. Your primary focus will be on developing innovative solutions to enhance cybersecurity applications.

The ideal candidate will have a strong background in machine learning and deep learning, with expertise in training and delivering LLMs and deep learning models at scale. Proficiency in Python and leading ML/DL frameworks like PyTorch, TensorFlow, and Keras is also essential.

You will work closely with cross-functional teams to integrate advanced AI models into our security solutions, analyze complex data sets, and drive hands-on research from ideation to scalable production systems.

In addition to your technical skills, excellent communication, mentoring, and collaboration abilities are crucial for success in this role.

Key Responsibilities
  • Serve as technical lead for projects involving LLMs, deep learning, and neural networks focused on cybersecurity applications
  • Design, train, fine-tune, and deliver LLMs and advanced deep learning models for tasks such as anomaly detection, threat classification, and automated analysis of security data
  • Drive hands-on research from ideation through prototyping to scalable production systems
  • Collaborate with product and engineering teams to integrate advanced AI models into Imperva's security solutions
  • Analyze complex, high-dimensional security data to identify emerging threats and attack patterns
  • Mentor and guide other data scientists and contribute to the team's technical growth
  • Represent Imperva in the AI and security communities through thought leadership, publications, presentations, and patents
Requirements
  • 7+ years of hands-on experience in machine learning and deep learning, with a strong focus on neural networks and NLP
  • At least 3 years of proven experience in training, fine-tuning, and delivering LLMs and deep learning models at scale
  • Advanced proficiency with Python and leading ML/DL frameworks: PyTorch, TensorFlow, Keras, etc.
  • Experience with MLOps, scalable model deployment, and optimizing inference for production environments
  • Strong background in analyzing large, complex datasets using SQL, Spark, or similar tools
  • Track record of delivering impactful AI solutions in real-world settings
  • Experience in application/data security is a strong advantage
  • Experience with cloud platforms (AWS, Azure, GCP) is a plus
  • Experience with Kubernetes (K8s) and microservices infrastructure is a plus
  • Experience with CI/CD practices and the full lifecycle of ML model development, from data preparation to deployment and monitoring, is a strong advantage
  • Ph.D. or M.Sc. in Computer Science, Engineering, Math, or another quantitative/technical field is valued, but not required if you have strong relevant professional experience
  • Excellent communication, mentoring, and collaboration skills

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