Filesig Pte Ltd
AI Engineer
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Company Description
FileSig Pte Ltd is a cybersecurity intelligence company focused on strengthening digital trust through visibility, automation, and education. The organization builds a connected security ecosystem that includes SaaS security management, risk tracking, secure coding education, AI security training, and adaptive firewall solutions. Its products, such as SaaSLens, RiskLens, Secure Code Cards, AISEC Training, and Firewalli, address security needs across cloud applications, codebases, AI systems, and network layers. FileSig’s mission is to make cybersecurity measurable, teachable, and accessible so teams can secure systems confidently from infrastructure to AI. The company serves modern organizations seeking practical tools and training to bridge awareness, prevention, and resilience in one platform.
Role Description
This is a remote, contract role for a Freelance AI Engineer. The AI Engineer will design, build, and optimize AI models and pipelines that support FileSig’s cybersecurity tools and training platforms, including AI-driven detection, scoring, and educational experiences. Day-to-day responsibilities include:
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- Researching and implementing algorithms for pattern recognition
- Developing and fine-tuning neural network architectures
- Applying natural language processing to security-related data and learning content
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The role involves collaborating with engineering and product teams to integrate AI solutions into production-grade software, ensuring scalability, performance, and security best practices. The AI Engineer will also:
- Document technical approaches
- Contribute to experimentation frameworks
- Support continuous improvement of AI capabilities across FileSig’s ecosystem
Qualifications
- Strong foundation in Computer Science, including algorithms, data structures, and software design principles.
- Proficiency in Software Development, with experience building and deploying AI or data-intensive applications.
- Hands-on experience with Neural Networks and related machine learning frameworks (e.g., PyTorch, TensorFlow).
- Skills in Pattern Recognition and applied machine learning for classification, anomaly detection, or forecasting.
- Experience with Natural Language Processing (NLP), including model training, evaluation, and integration into products.
- Knowledge of cybersecurity concepts or a strong interest in security, risk management, or secure coding practices.
- Proficiency in programming languages commonly used in AI engineering (such as Python), and familiarity with cloud platforms.
- Ability to work independently in a remote setting, manage contract timelines, and communicate clearly with cross-functional teams.
- Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
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