Senior Data Scientist with LLM Experience
@ Thales

Tel Aviv-Yafo, Tel Aviv District, Israel
$150,000
On Site
Full Time
Posted 10 hours ago

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About Thales

At Thales, we know technology has the ability to make our world more secure, sustainable, and inclusive. We value human intelligence and diverse viewpoints, driving progress in industries from cybersecurity to space exploration.

About Imperva

Imperva, a Thales company, is a globally recognized cybersecurity leader dedicated to securing data and applications. Our innovative solutions safeguard critical assets against emerging threats, and we are honored as one of Israel’s Top 50 High-Tech Companies to Work For in 2024.

Position: Senior Data Scientist with LLM Experience

Join our Threat Research group composed of elite researchers and developers. This role focuses on developing and deploying advanced AI models to counter cybersecurity threats.

Key Responsibilities

  • Lead technical projects involving LLMs, deep learning, and neural networks.
  • Design, train, fine-tune, and deliver LLM and advanced models for anomaly detection and threat classification.
  • Drive research from ideation through prototyping to production systems.
  • Collaborate with product and engineering teams to integrate AI into security solutions.
  • Analyze complex security data to spot emerging threats.
  • Mentor data scientists and contribute to team growth.
  • Represent Imperva in AI and security forums through publications and presentations.

Requirements

  • 7+ years of experience in machine learning and deep learning with neural networks and NLP.
  • 3+ years experience in training, fine-tuning, and delivering LLMs at scale.
  • Advanced proficiency in Python and ML/DL frameworks (PyTorch, TensorFlow, Keras).
  • Experience with MLOps, scalable model deployment, and inference optimization.
  • Strong background in analyzing large datasets using SQL, Spark, etc.
  • Experience in application/data security is a plus.
  • Experience with cloud platforms (AWS, Azure, GCP), Kubernetes, and CI/CD practices is a plus.
  • Ph.D. or M.Sc. in Computer Science, Engineering, Math, or related field preferred.
  • Excellent communication, mentoring, and collaboration skills.

Equal Opportunity

Thales champions inclusion and values diversity, ensuring equal opportunity for all qualified applicants.

Key skills/competency

  • LLMs
  • Deep Learning
  • Neural Networks
  • NLP
  • Python
  • MLOps
  • Cybersecurity
  • Data Analysis
  • SQL
  • Cloud Platforms

How to Get Hired at Thales

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant LLM and cybersecurity experience.
  • Showcase technical skills: Emphasize deep learning and Python expertise.
  • Research Thales: Understand their mission, culture, and innovations.
  • Prepare interview answers: Focus on security, AI projects, and leadership examples.

📝 Interview Preparation Advice

Technical Preparation

Review LLM training and fine-tuning techniques.
Practice Python and core ML framework coding.
Study scalable model deployment strategies.
Update knowledge on cybersecurity threat analysis.

Behavioral Questions

Describe a time you led a project.
Explain a challenging team collaboration experience.
Discuss how you handle feedback constructively.
Share an example of innovative problem-solving.

Frequently Asked Questions