This is a remote position.

Join Tsaaro as an AI Security Engineer

Secure AI Systems. Mitigate Emerging Threats. Enable Responsible Intelligence.

Are you a security engineer passionate about protecting AI systems, machine learning models, and data pipelines
Do you want to work hands-on with cloud-native AI environments while tackling next-generation security challenges

Tsaaro is looking for an AI Security Engineer to join our Information Security team and help secure AI/ML systems across their lifecycle.

At Tsaaro, security and privacy are not afterthoughts — they are foundational. Our cybersecurity, GRC, and AI governance experts work together to deliver practical, scalable, and future-ready security solutions.

Your Role: AI Security Engineer

As an AI Security Engineer, you will work closely with data scientists, ML engineers, DevOps, and security teams to design, implement, and monitor security controls for AI systems. Your role will focus on identifying and mitigating AI-specific threats while enabling secure and compliant AI adoption.

Key Responsibilities

Design, implement, and maintain security controls for AI/ML infrastructure and data pipelines

Assess and mitigate risks in AI models, including adversarial attacks, data poisoning, and model inversion

Conduct threat modeling and risk assessments for AI systems, APIs, and supporting services

Collaborate with data science and DevOps teams to ensure secure model deployment and continuous monitoring

Implement best practices for AI data governance, model integrity, and compliance

Develop tools and automation for continuous security testing of AI models and datasets

Monitor AI systems for anomalies, model drift, and potential security incidents

Research emerging AI security threats and contribute to internal security awareness initiatives

Requirements

Minimum 2+ years of hands-on experience in security engineering, preferably in AI, ML, or data-driven environments

Bachelor's degree in Computer Science, Cybersecurity, Artificial Intelligence, or a related field

Strong understanding of cloud platforms (AWS, Azure, or GCP) and container security (Docker, Kubernetes)

Hands-on experience with Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn

Knowledge of secure software development practices, data privacy, encryption, and key management

Familiarity with adversarial ML techniques, model robustness, and data integrity risks

Ability to work cross-functionally with engineering, data science, and security teams

Strong documentation, reporting, and communication skills

Benefits

Work on real-world AI security and machine learning protection challenges

Exposure to modern cloud-based and MLOps-driven AI environments

Opportunity to build deep expertise in AI security, governance, and compliance

Accelerated learning through hands-on projects and mentorship from senior security professionals

Support for relevant security and AI-related certifications

Flexible and remote-friendly work culture

From the Tsaaro Team:

AI is redefining how organizations operate — securing it requires engineers who understand both technology and risk. As an AI Security Engineer at Tsaaro, you'll help build resilient, trustworthy AI systems from the ground up.