V
Data Scientist
Not specifiedNot specifiedData ScienceCybersecurity
Join a cybersecurity AI team developing production systems that use large language models, unstructured data, and advanced machine learning to improve security operations.
Responsibilities
- Design and develop end-to-end AI solutions from data ingestion and modeling through deployment and observability.
- Build and fine-tune LLM-based applications for cybersecurity use cases.
- Own the machine learning lifecycle from ideation and experimentation through production readiness.
- Work with large-scale unstructured data such as logs, threat intelligence, and alerts.
- Collaborate with product, engineering, and security teams to convert AI research into user-facing features.
- Evaluate and optimize AI system performance, scalability, and reliability.
- Contribute to architectural decisions for AI and machine learning infrastructure.
Requirements
- At least 4 years of professional experience in machine learning or AI engineering.
- Hands-on experience with LLMs and production AI agents.
- Strong knowledge of text classification, ranking, and evaluation for NLP systems.
- Proficiency in Python and modern machine learning frameworks.
- Experience deploying and maintaining AI systems at scale.
- Experience with cloud platforms, particularly AWS.
- Bachelor’s or master’s degree in computer science, data science, or a related field.
- Ability to work independently in a fast-paced environment.
Nice to have
- Experience fine-tuning LLMs for domain-specific or task-specific applications.
- Background in cybersecurity, including threat detection, incident response, or log analysis.
- Familiarity with agent-based architectures and autonomous systems.