O pozici
Blackwall is building the next generation of AI-powered security infrastructure to protect the web from automated threats. We combine behavioural intelligence, real-time protection, and performance optimization to safeguard hosting environments and drive operational efficiency.
Co budeš dělat
- Collaborate with the Head of AI, product managers, and engineers to identify and deliver AI-driven security features.
- Engineer and deploy ML models (e.g., LLMs, classifiers, anomaly detectors) into real-time systems like our WAF and behavioral analytics engine.
- Build robust, low-latency ML pipelines using Python, C++, and SQL – ensuring performance, scalability, and maintainability.
- Apply adversarial learning and behavior modeling to differentiate between bots and human traffic under live traffic conditions.
- Design and implement workflows that enhance data quality, latency, and decision reliability across production services.
- Monitor, evaluate, and optimize deployed models, ensuring continuous learning and adaptation to emerging threats.
- Present results and trade-offs in a clear, structured way to both technical and non-technical stakeholders.
- Contribute to Blackwall’s AI engineering practices by mentoring peers, conducting code reviews, and improving tooling.
Koho hledáme
- 3+ years of hands-on experience as an ML/AI engineer working on production systems, ideally in real-time or high-throughput environments.
- Strong foundation in software engineering practices: version control, CI/CD, containerization, code testing, performance tuning.
- Proficient in Python and SQL, with solid exposure to C++ or other systems-level languages.
- Deep knowledge of ML models and deployment strategies – especially classification, anomaly detection, and behavioral modeling.
- Experience working with LLMs or generative AI frameworks, including fine-tuning and serving.
- Proven ability to translate ML research into scalable, reliable software systems.
- Degree in Computer Science, Engineering, Mathematics, or a related technical field; MSc or PhD preferred.
- Experience working cross-functionally with data, product, and infrastructure teams.
Benefity
- We are striving to create a diverse and inclusive environment. We encourage all applicants to apply for our roles. We value and actively seek diverse talent!
