AI Security Engineer

Tsaaro Consulting; Delhi; Remote; INR 1,500,000 - 2,700,000; Full time

Benefits offered by this job

Opportunity for security and AI-related certifications

Flexible and remote-friendly work culture

Hands-on projects and mentorship from senior security professionals

Job summary

A leading security consulting firm is seeking an AI Security Engineer to protect AI systems and machine learning models. This role offers a chance to work hands-on with cloud-native AI environments while mitigating emerging threats. Candidates should have 2+ years in security engineering, a degree in a related field, and understanding of cloud platforms, Python, and ML frameworks. The position is remote, promoting a flexible work culture while tackling real-world AI security challenges.

Qualifications

• Minimum 2+ years of hands‑on experience in security engineering, preferably in AI, ML, or data‑driven environments.
• Strong understanding of cloud platforms and container security.
• Knowledge of secure software development practices, data privacy, encryption, and key management.
• Hands-on Python; familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Knowledge of data privacy, encryption, and key management.
• Familiarity with adversarial ML, model robustness, data integrity.
• Ability to work cross-functionally with engineering, data science, and security teams.
• Strong documentation and communication skills.

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.
• Collaborate with data science and DevOps teams to ensure secure model deployment and monitoring.
• Implement best practices for AI data governance, model integrity, and compliance.
• Develop tools 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.

Skills

Security engineering

Python

Cloud platforms (AWS, Azure, GCP)

Machine learning frameworks (TensorFlow, PyTorch, scikit-learn)

Container security (Docker, Kubernetes)

Documentation and communication

Data privacy & encryption

Threat modeling

Cross-functional collaboration

Documentation

Education

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

Tools

Docker

Kubernetes

TensorFlow

PyTorch

scikit-learn

Job description

Join to apply for the AI Security Engineer role at Tsaaro Consulting.

This is a remote position.

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.

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.

Position Details

• Seniority level: Mid‑Senior level
• Employment type: Full‑time
• Job function: Management
• Industries: Legal Services