Data Scientist and LLM Engineer
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Job Description
Fortinet is looking for a Senior Data Scientist with expertise in Machine Learning (ML) and Large Language Models (LLMs) to enhance our cybersecurity solutions. In this role you will design and implement a variety of ML techniques including LLMs and other advanced algorithms to analyze threats automate processes and improve detection and response systems. You will lead projects endtoend transforming research into scalable highimpact solutions that secure our clients digital environments.
Responsibilities
- Research design and implement MLbased solutions for cybersecurity applications such as anomaly detection behavior modeling and threat intelligence analysis.
- Lead endtoend projects including research implementation deployment and production monitoring.
- Leverage LLMs and other ML techniques including clustering classification and timeseries analysis to develop innovative solutions for cybersecurity challenges.
- Finetune and perform prompt tuning to optimize LLMs for tasks like phishing detection log analysis and malware categorization.
- Develop scalable pipelines for data preprocessing training and deploying ML models in production environments.
- Collaborate with data engineers and software teams to build and maintain infrastructure for data collection storage and processing.
- Apply unsupervised and supervised learning techniques to detect emerging threats and patterns in largescale cybersecurity data.
- Design robust APIs and services to integrate ML and LLM solutions into existing systems.
- Propose and prototype novel ML approaches to improve our products and internal workflows.
- Stay updated on advancements in ML including LLMs computer vision and graphbased models identifying opportunities to apply them in cybersecurity.
- Provide mentorship and technical guidance to junior data scientists and engineers.
- Work closely with an Incident Response team to improve realtime detection.
Requirements
- 4 years of professional experience in ML Engineering (Advantage to GenAI) in an AI company that involves working with researchers.
- Proficiency in Python and ML packages
- Experience with AI/ML (MLOps) and a strong understanding of system architecture Advantage
- Masters or Ph.D. in Computer Science Statistics Artificial Intelligence Machine Learning or a related field Advantage
- Familiarity with vector databases SQL/NoSQL systems and API development.
- Strong problemsolving critical thinking and communication skills.
#LIHybrid
Employment Type
Full-Time
