Data Scientist

F5 F5 · Enterprise · Dublin, Cork

F5 is seeking an experienced Data Scientist specializing in AI and LLMs to innovate and strengthen their security platforms. This role focuses on building and deploying intelligent tools using AI/LLM technologies for automated red-teaming, vulnerability detection, adversarial attack simulation, and intelligent defense mechanisms. The candidate will operationalize AI models for secure and robust deployments, collaborating with researchers, engineers, and product teams to productionize cutting-edge AI solutions for securing and optimizing AI-powered systems.

What you'd actually do

  1. Research, design, develop, fine-tune, and evaluate LLMs, intelligent agents, and deep learning models for AI security and system optimization.
  2. Create advanced tools for tasks like automated red-teaming, vulnerability detection, adversarial attack simulation, and intelligent defenses.
  3. Implement and deploy AI/LLM-powered features as robust, scalable, and secure components in F5's security platforms.
  4. Develop and maintain pipelines for end-to-end AI/LLM workflows, covering data preprocessing, training, fine-tuning, validation, deployment, and monitoring.
  5. Develop tools and strategies to detect and mitigate vulnerabilities, such as prompt injection and data poisoning threats.

Skills

Required

  • Experience developing, training, and deploying AI/LLM models
  • Familiarity with AI/LLM libraries and tools such as PyTorch, TensorFlow, Hugging Face Transformers, or similar frameworks
  • Understanding of LLM security vulnerabilities and implementing mitigation solutions
  • Proven expertise in deploying AI/ML models in production environments, emphasizing secure deployments
  • Strong analytical and problem-solving skills applied to complex AI challenges

Nice to have

  • Experience fine-tuning and deploying large-scale language models, including using frameworks like vLLM or TGI
  • Familiarity with Reinforcement Learning from Human Feedback (RLHF) for improving LLM alignment and performance
  • Knowledge of vector databases (e.g., Pinecone, Weaviate) and their applications in AI workflows
  • Expertise with cloud platforms and distributed computing for large-scale AI operations
  • Hands-on experience optimizing models for cost, speed, and resource efficiency in production workflows

What the JD emphasized

  • deploying AI models
  • LLM security vulnerabilities
  • prompt injection
  • data poisoning
  • Reinforcement Learning from Human Feedback (RLHF)

Other signals

  • Deploying AI models
  • LLM security
  • Red teaming
  • Adversarial attack simulation