Productive Playhouse is seeking a Security Engineer with hands-on AI/ML experience to lead and strengthen our security posture as we scale AI-driven transcription, translation, and quality assurance workflows across global operations.
Requirements
- 4+ years of cybersecurity engineering experience
- Minimum 2 years working in AI/ML systems or data science infrastructure
- Strong understanding of AI/ML security risks including adversarial ML, prompt injection, data leakage, and model supply chain vulnerabilities
- Hands-on experience with cloud security (AWS, GCP, or Azure), container security, and CI/CD pipeline hardening
- Proficiency in Python and scripting for security automation and AI/ML tooling
- Working knowledge of at least one ML framework (PyTorch, TensorFlow, or similar) and familiarity with LLM architectures
- Experience with compliance frameworks such as ISO 27001, SOC 2, or NIST 800-171
- Familiarity with endpoint protection, SIEM, network security tools, and identity/access management
- Strong analytical and communication skills with the ability to translate technical risks into business impact
