AI Engineer

Job Description - AI Engineer
Location: Singapore
Employment Type: Full-time
Department: Technology / Engineering

About Toffs Technologies
Toffs Technologies is a trusted leader in cybersecurity, AI, and cloud solutions, helping enterprises build resilience against evolving digital threats. With a strong presence across Asia, we deliver next-generation services such as DDoS protection, WAF, CDN, and advanced AI-driven solutions that empower businesses to operate securely in a connected world.

About the Role
We are seeking a forward-thinking AI Engineer to join our team and develop innovative AI-driven solutions that strengthen cybersecurity and enhance digital resilience. You will collaborate with data scientists, software engineers, and cybersecurity experts to design and deploy scalable AI systems for threat detection, network optimization, and enterprise security solutions.

Key Responsibilities
- Design, develop, and deploy AI/ML models tailored for cybersecurity use cases (e.g., anomaly detection, threat intelligence, fraud detection, predictive analytics).
- Build scalable data pipelines and automate ML workflows for real-time security monitoring.
- Collaborate with cybersecurity teams to integrate AI solutions into TOFFS products and services (e.g., DDoS mitigation, WAF, cloud security).
- Perform large-scale data preprocessing, feature engineering, and continuous model evaluation.
- Research and implement cutting-edge AI techniques in natural language processing (NLP), generative AI, and network traffic analysis.
- Develop APIs and tools to integrate AI functionalities into enterprise client platforms.
- Stay updated with emerging AI/ML and cybersecurity trends to drive innovation.

Requirements
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
- Strong programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face).
- Solid understanding of machine learning, deep learning, and anomaly detection methods.
- Experience with data engineering tools (Pandas, NumPy, Spark, SQL) and cloud platforms (AWS, GCP, Azure).
- Familiarity with cybersecurity concepts, network protocols, and security analytics.
- Strong problem-solving and analytical skills with the ability to handle complex datasets.

Preferred Qualifications
- Hands-on experience with AI for cybersecurity applications (malware detection, intrusion detection, phishing detection).
- Knowledge of MLOps practices (CI/CD for ML, Docker, Kubernetes, MLflow).
- Exposure to big data platforms and real-time data processing.