This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Security Expert based in India.
This is a highly specialized role operating at the intersection of cybersecurity and artificial intelligence, focused on protecting machine learning systems from emerging and evolving threats. You will be responsible for securing the full AI lifecycle, from data pipelines and model training to deployment and runtime monitoring. The role involves identifying and mitigating risks such as adversarial attacks, data poisoning, and model manipulation while ensuring compliance with global AI governance standards. You will collaborate with engineering, data science, and product teams to embed security into AI-driven workflows from the ground up. Working in a fast-paced, innovation-led environment, you will help build resilient and trustworthy AI systems at scale. This position is fully remote and offers the opportunity to shape the future of secure AI adoption in production environments.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Security Expert based in India.
This is a highly specialized role operating at the intersection of cybersecurity and artificial intelligence, focused on protecting machine learning systems from emerging and evolving threats. You will be responsible for securing the full AI lifecycle, from data pipelines and model training to deployment and runtime monitoring. The role involves identifying and mitigating risks such as adversarial attacks, data poisoning, and model manipulation while ensuring compliance with global AI governance standards. You will collaborate with engineering, data science, and product teams to embed security into AI-driven workflows from the ground up. Working in a fast-paced, innovation-led environment, you will help build resilient and trustworthy AI systems at scale. This position is fully remote and offers the opportunity to shape the future of secure AI adoption in production environments.
Accountabilities:
- Design and implement end-to-end security frameworks for AI/ML pipelines, ensuring protection across data ingestion, model training, deployment, and runtime environments against unauthorized access or manipulation.
- Identify, simulate, and mitigate adversarial threats such as model inversion, evasion attacks, and data poisoning through proactive security engineering and testing strategies.
- Strengthen data privacy and intellectual property protection mechanisms using advanced techniques such as encryption, anonymization, and privacy-preserving ML approaches.
- Conduct AI-specific threat modeling and lead red teaming exercises to uncover vulnerabilities and improve system resilience before production exposure.
- Ensure AI systems comply with global governance frameworks and standards, including ISO/IEC 42001, NIST AI RMF, and other emerging regulatory guidelines.
- Collaborate with engineering and data science teams to integrate security controls into CI/CD pipelines, MLOps workflows, and cloud-based AI infrastructure.
- Translate complex AI security risks into clear, actionable insights for both technical and non-technical stakeholders to support informed decision-making.
- Strong background in cybersecurity with 5+ years of experience, including at least 2 years focused specifically on AI/ML security, research, or applied machine learning protection.
- Deep proficiency in machine learning frameworks such as TensorFlow and PyTorch, along with a strong understanding of model architectures and training processes.
- Hands-on experience with adversarial machine learning techniques, including gradient-based attacks, evasion methods, and model extraction risks.
- Solid expertise in securing ML-enabled CI/CD pipelines and containerized environments using tools such as Docker and Kubernetes.
- Experience with privacy-preserving technologies such as Differential Privacy, Federated Learning, or Homomorphic Encryption for secure data handling.
- Strong cloud security knowledge across platforms such as AWS, Azure, or GCP, particularly in securing managed AI services like SageMaker or Vertex AI.
- Excellent analytical, problem-solving, and stakeholder communication skills with the ability to align security concepts with business and product goals.
- Education in Computer Science, Cybersecurity, Data Science, or related field, with certifications such as CISSP or CISM considered an advantage.
- Fully remote role with flexible working arrangements aligned to AU/NZ business hours
- Competitive compensation package up to ₱150,000 PHP, based on experience and final client evaluation
- Opportunity to work on cutting-edge AI security challenges in a rapidly evolving technical landscape
- Exposure to advanced machine learning systems and large-scale production AI environments
- Collaboration with cross-functional global teams in an innovation-driven organization
- Chance to shape and implement AI security best practices and governance frameworks from the ground up
- Work on impactful systems supporting industries such as healthcare, logistics, and construction.