About Us:
We are a cybersecurity startup based in Singapore, specializing in the browser detection and response space. Our mission is to redefine how businesses secure their digital environments through cutting-edge technologies. Join our team and contribute to building AI-driven solutions that enhance cybersecurity defenses.
Role Overview:
We are looking for an AI Specialist to work on the development and training of advanced AI models, focusing on Large Language Models (LLMs) and anomaly detection systems. This role offers a unique opportunity to work at the intersection of AI and cybersecurity, creating solutions that proactively identify and mitigate threats.
Key Responsibilities:
1. Design, develop, and train LLM models tailored to our cybersecurity use cases.
2. Implement and enhance anomaly detection algorithms to identify unusual patterns and potential threats.
3. Collaborate with the engineering and product teams to integrate AI models into our browser detection and response platform.
4. Analyze large datasets to extract insights and improve the accuracy of detection mechanisms.
5. Stay updated on advancements in AI/ML technologies and propose innovative solutions for our cybersecurity challenges.
6. Optimize model performance, scalability, and deployment in real-world applications.
7. Document research findings, methodologies, and results to share with the team and stakeholders.
Qualifications:
1. Proven experience in training and fine-tuning Large Language Models (e.g., GPT, BERT).
2. Strong understanding of anomaly detection techniques and their applications in cybersecurity.
3. Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or similar.
4. Experience working with large datasets and data preprocessing techniques.
5. Familiarity with cybersecurity concepts, tools, and data types is highly desirable.
6. Excellent problem-solving skills with the ability to work in a dynamic and fast-paced startup environment.
7. Strong communication skills and the ability to collaborate effectively with cross-functional teams.
8. Master’s or Ph.D. in Computer Science, AI/ML, Data Science, or a related field is preferred but not mandatory.
#J-18808-Ljbffr