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Описание вакансии
Текст:
TL;DR
Sr. Data Scientist - Gen AI (Remote) (LLMs, Deep Learning, Cybersecurity): Building next-generation AI systems that stop cybersecurity breaches at massive scale with an accent on LLMs, deep learning, model architecture, training, and deployment. Focus on leading AI research strategy, implementing research in production, optimizing GPU-powered systems, and shaping technical direction across the organization.
Location: United Kingdom — Remote
Company
Cybersecurity company building an AI-native platform to stop breaches and process large-scale security data.
What you will do
- Lead and architect the research strategy for applying generative AI to cybersecurity.
- Drive innovation in reasoning, summarization, interactivity, and other AI applications.
- Make strategic decisions about model architectures, training approaches, and deployment strategies.
- Implement machine learning research and build production-ready AI systems operating at massive scale.
- Mentor scientists, establish technical standards and evaluation frameworks, and promote engineering excellence.
- Lead cross-functional initiatives, align technical strategy with business goals, and represent technical work through publications and speaking engagements.
Requirements
- PhD or master's degree in Computer Science, Data Science, or a related field.
- 8+ years of applied machine learning or research experience, including leadership in developing production-grade models.
- Deep expertise in LLM and deep learning training and deployment at scale.
- Advanced knowledge of Python, deep learning frameworks, and cloud technologies.
- Expert understanding of GPU technologies and optimization techniques.
- Strong technical leadership, mentoring, communication, and complex problem-solving skills.
Nice to have
- Research publications in leading AI journals and conferences.
- Experience applying machine learning to cybersecurity.
- Successful research-to-production implementations at scale.
- Contributions to open-source machine learning projects.
Culture & Benefits
- Flexible work environment with autonomy and a focus on responsible AI adoption, experimentation, and innovation.
- Physical and mental wellness programs.
- Competitive vacation and holidays, plus paid parental and adoption leave.
- Professional development opportunities for employees at every level.
- Employee networks, geographic groups, volunteer opportunities, and access to office amenities.
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