Hybrid Data Scientist

at F5

• Job title: Data Scientist
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, PyTorch, Tensorflow
• Location requirements: Hybrid, Dublin, Ireland

About the role

• Data Scientist specializing in AI and LLM technologies at F5, innovating security platforms through AI/ML development and collaboration.

Responsibilities

• Innovate and strengthen pioneering security platforms with AI and LLM technologies.
• Collaborate closely with AI researchers, software engineers, and product teams to productionize cutting-edge AI solutions.
• Create advanced tools for automated red-teaming, vulnerability detection, adversarial attack simulation, and intelligent defenses.
• Optimize AI/LLM models for inference speed, cost-efficiency, and resource utilization in production.
• Develop and maintain pipelines for end-to-end AI/LLM workflows, covering data preprocessing, training, fine-tuning, validation, deployment, and monitoring.
• Monitor model performance and behavior in production, addressing safety, alignment, and security vulnerabilities.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 3-5 years of professional experience, including hands-on 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.
• Experience fine-tuning and deploying large-scale language models, including using frameworks like vLLM or TGI (preferred).
• Familiarity with Reinforcement Learning from Human Feedback (RLHF) for improving LLM alignment and performance (preferred).
• Knowledge of vector databases (e.g., Pinecone, Weaviate) and their applications in AI workflows (preferred).
• Expertise with cloud platforms and distributed computing for large-scale AI operations (preferred).
• Hands-on experience optimizing models for cost, speed, and resource efficiency in production workflows (preferred).

Benefits

• Healthcare benefits
• Professional development opportunities