Senior Data Scientist

Job Title: Data Scientist

Role Summary

F5 is seeking an experiencedData Scientist specializing in Artificial Intelligence (AI) andLarge Language Models (LLMs) to drive innovation and enhance F5s data-driven decision-making capabilities. This role will focus on developing and deploying intelligent tools usingcutting-edgeAI/LLM technologies to strengthen our security measuresoptimizesystems and align decision-making processes with business priorities. You will work hands-on to operationalize data science techniques contributing to scalablesolutionsand improving system reliability.

In this role you will collaborate with cross-functional teams including researchers software engineers and product leaders to deliver predictive insights end-to-end solutions and secure deployments for AI-powered platforms. The ideal candidate combines technical acumen critical reasoning collaboration skills and a passion forleveragingAI to transform business and system operations.

Key Responsibilities

AI/ML Model Development and Operationalization

• Research design develop fine-tune and evaluateLLMsand other deep learning models to enhance F5s AI capabilities.

• Create solutions for tasks such as automatedred-teaming vulnerability detection adversarial attack simulation and intelligent defense mechanisms.

• Deploy robust scalable and secureAI/LLM-powered modelsand tools withinF5splatforms ensuring alignment with businessobjectives.

• Optimizemodels for inference speed cost-efficiency and resourceutilizationin production environments.

End-to-End Data Science andMLOps

• Develop pipelines forMLOpsworkflows including data transformation training/fine-tuning validation deployment and monitoring.

• Build scalable analytical processes and tools to handle large complex datasets efficiently and securely throughout their lifecycle.

• Monitor model performance and behavior in production proactively managing safety concerns alignment and vulnerabilities.

Collaborative Insight Generation

• Collaborate with a cross-functional team of researchers engineers and product leaders to prioritize AI/ML feature development and align models with customer needs.

• Translate stakeholderobjectivesinto technical solution requirements ensuring clarity and understanding between technical and non-technical teams.

• Communicate findings and solutions through visualization documentation and presentations that enable data-driven decision-making.

Security and Innovation

• Ensure awareness of AI/LLM security vulnerabilities such as prompt injection or data poisoning and apply mitigation strategies.

• Contribute to research onReinforcement Learning from Human Feedback (RLHF)for improving AI models aligned with business priorities.

• Investigate AI/ML advancements and integratestate-of-the-artsolutions to proactively address emerging security challenges.

Required Qualifications

• Bachelors orMasters degree inComputer ScienceArtificial IntelligenceMachine LearningStatistics or a related quantitative field.

• 2-5 years of experience designing training and deploying AI/ML models with hands-on experience working withLarge Language Models (LLMs).

• Strong programming skills in Python and extensive experience with ML/DL frameworks such as TensorFlowPyTorch or similar.

• Proventrack recordin deploying complex AI/ML systems into production environments including secure deployments.

• Familiarity with AI/LLM libraries such as Hugging Face TransformersLangChain or equivalent frameworks.

• Strong analytical and problem-solving skills to address complex data challenges effectively.

Preferred Qualifications

• Experience fine-tuning and deploying large-scale language models including frameworks likevLLMor TGI for LLM optimization.

• Knowledge ofLLM security vulnerabilitiesand the implementation of mitigation techniques.

• Familiarity withvector databases(e.g. PineconeWeaviate) and their use in AI workflows.

• Experience with cloud platforms and distributed computing for large-scale AI operations.

• Knowledge of statistical analysis regression techniques clustering methods and time series analysis.

• Hands-on experience with RLHF to improve alignment and enhancecapabilityof LLMs.

Why Join F5s Data Science Team

At F5 theData Science teamplays a critical role in driving innovation research and security enhancements. As a Data Scientist at F5 you will:

• Develop transformative technologies and improve system decision-making atscale.

• Collaborate with some of the best minds in the industry to operationalizecutting-edgeAI/ML techniques.

• Work in an inclusive and dynamic environment that values innovation diversity and collaboration.

• Advance your career by engaging in mission-critical AI/ML projects that make a real-world impact.

What Success Looks Like

A successful candidatedemonstratesleadership andexpertiseby:

• Delivering end-to-end AI solutions with scalability robustness and innovation acrossF5splatforms.

• Collaborating effectively with cross-functional teams to align business goals with technical solutions.

• Applying statistical methods and predictive analytics to deliver actionable insights acrossF5soperations.

• Proactivelyidentifyingopportunities to enhance system reliability and reduce vulnerabilities within AI solutions.