Added
2 hours ago
Type
Full time
Salary
Salary not provided

Related skills

docker aws python kubernetes threat modeling

๐Ÿ“‹ Description

  • Design and implement security controls for AI/ML systems across development, training, and production.
  • Secure LLM integrations, RAG pipelines, and AI APIs.
  • Conduct threat modeling for AI systems and data pipelines.
  • Integrate AI security checks into CI/CD pipelines.
  • Secure model registries and artifact storage.
  • Collaborate with other engineers and platform teams to enforce security standards.

๐ŸŽฏ Requirements

  • 3โ€“5+ years in cybersecurity engineering or application security.
  • Hands-on experience with ML/AI systems (LLMs, NLP models, or similar).
  • Strong understanding of: OWASP Top 10, Secure SDLC, Cloud security (AWS/Azure/GCP).
  • Experience with: Python, API security, Containerization (Docker, Kubernetes).
  • Knowledge of AI-specific security risks and mitigations.
  • Experience conducting threat modeling and risk assessments.

๐ŸŽ Benefits

  • Competitive Salary: We believe great work deserves great pay!
  • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid
  • Generous Time Off: Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
  • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
  • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, weโ€™ve got your back. Plus, location-specific benefits and perks!
  • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply).
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