Company Description Ducara Info Solutions (P) Limited was founded in 2013 with a mission to provide superior cybersecurity services, solutions, and education to organizations worldwide. Originating from a vision to close the cybersecurity skills gap in India, the company has grown into a trusted partner for more than 100 clients globally. Ducara offers a broad portfolio of services, including training, consulting, and product-based solutions across multiple security domains. The organization is deeply involved in cybersecurity research and development and is preparing to launch innovative security products. Professionals joining Ducara become part of a team focused on building a more secure digital world through expertise, innovation, and collaboration.
Role Description This is a part-time, remote role for an AI Security Consultant. The consultant will assess, design, and recommend security controls for AI and machine learning systems, including models, data pipelines, and deployment environments. Day-to-day responsibilities include performing risk assessments, threat modeling, and security architecture reviews specific to AI applications, as well as identifying vulnerabilities in AI-driven products and related infrastructure. The role involves collaborating with engineering, data science, and security teams to define secure development practices for AI, support compliance with relevant standards, and create technical documentation, playbooks, and reports for clients. The consultant may also contribute to internal R&D initiatives, knowledge sharing, and client training related to AI security best practices.
Qualifications
- Strong expertise in Security Consulting, with the ability to assess client environments, define security roadmaps, and communicate recommendations clearly to technical and non-technical stakeholders.
- Hands-on experience in Application Security, including secure SDLC, code and model review, API and web application security, and securing AI/ML workloads within applications.
- Solid foundation in Cybersecurity principles, including threat modeling, vulnerability management, incident response fundamentals, and security governance.
- Practical knowledge of Network Security and Information Security, such as securing network architectures, data protection, identity and access management, and logging/monitoring for AI systems.
- Experience or strong interest in AI/ML security (e.g., model poisoning, adversarial examples, data confidentiality and integrity, secure model deployment) is highly desirable.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their security services, especially for AI/ML workloads.
- Bachelor's degree in Computer Science, Information Security, Engineering, or a related field, or equivalent practical experience.
- Relevant security certifications (e.g., CISSP, CEH, OSCP, CCSP, or AI/ML-focused security courses) are a plus.
- Strong analytical and problem-solving skills, effective written and verbal communication
