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Senior Engineer - AI Research & Cybersecurity

Senior Engineer - AI Research & Cybersecurity

PayNet (Payments Network Malaysia)Kuala Lumpur, Kuala Lumpur, Malaysia
1 day ago
Job description

Overview

Senior Engineer - AI Research & Cybersecurity at PayNet (Payments Network Malaysia).

What You’ll Do

You’ll help design and implement our Secure AI Development Framework (SADF) —a blueprint for building trustworthy AI systems. Your work will focus on fine-tuning large language models (LLMs) for cybersecurity use cases, building resilient AI pipelines, and deploying agentic applications securely on AWS and OnPrem environments. You’ll collaborate with senior specialists to ensure our AI systems meet the highest standards of robustness, privacy, and compliance.

Your Key Responsibilities

  • Secure AI Development : Contribute to SADF artefacts : requirements, test harnesses, compliance checklists, and reproducibility standards (MLflow / DVC).
  • Integrate robustness checks, bias detection, and privacy safeguards into AI workflows.
  • Support audits and reviews to ensure SADF compliance.
  • Research adversarial AI techniques and propose enhancements.
  • AI Model Development & Fine-Tuning : Fine-tune LLMs for cybersecurity use cases like threat detection and anomaly detection.
  • Apply transfer learning, prompt engineering, and evaluation frameworks.
  • Ensure models meet robustness, fairness, and privacy standards.
  • Cloud & Production Deployment : Build and deploy AI models on AWS and OnPrem (Ollama).
  • Develop CI / CD pipelines with security guardrails.
  • Monitor deployed models for drift, performance, and compliance.
  • Application & Integration : Build secure APIs using FastAPI for model integration.
  • Develop front-end prototypes with React for operational visibility.
  • Collaborate with cross-functional teams to embed AI into cybersecurity systems.
  • Collaboration & Compliance : Work closely with senior engineers to align with SADF guidelines.
  • Partner with compliance and risk teams to meet regulatory standards.
  • Document processes for auditability and reproducibility.

What You Bring

Experience

  • 3+ years in AI / ML engineering, data science, or applied research.
  • Hands-on experience with LLM fine-tuning, ML pipelines, and AWS deployment.

    • Education

  • Bachelor’s in Computer Science, Data Science, AI, Software Engineering, or related field.
  • Master’s degree is a plus.

    • Technical Skills

  • Strong Python skills and familiarity with ML frameworks.
  • Experience with MLflow / DVC, LLMOps, and MLOps.
  • Knowledge of AWS services (SageMaker, ECS, Lambda, IAM).
  • Familiarity with FastAPI and React.
  • Understanding of robustness, bias detection, and privacy-preserving techniques.
  • Basic grasp of cybersecurity principles.

    • Soft Skills

  • Analytical mindset and problem-solving ability.
  • Strong communication and collaboration skills.
  • Comfortable working with senior engineers and cross-functional teams.

    • Bonus Points

  • Experience in regulated industries (finance, payments).
  • Contributions to open-source ML / AI projects.
  • Familiarity with cybersecurity standards (e.g., NIST AI RMF, ISO 42001).

    • Role Details

  • Seniority level : Associate
  • Employment type : Full-time
  • Job function : Engineering and Information Technology

    • Note : This description reflects the role responsibilities and qualifications and may be updated as PayNet continues to evolve its AI and cybersecurity initiatives.

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    Senior Ai Engineer • Kuala Lumpur, Kuala Lumpur, Malaysia