Job Description
Position: AI Security & Risk Specialist
Function: AI Security & Privacy
Industry: Artificial Intelligence (AI)
Grade: mid level
Location: Kochi
Employment Type: Full-time (WFH)
Compensation: INR 19.3-39.9 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with ai security & privacy, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: M.Tech (AI/ML)
Minimum Experience: 5 years
Core Competencies Required: Privacy, Model Deployment (MLOps), AI Security, Cloud Platforms (AWS/GCP/Azure), Data Preprocessing, Computer Vision
Further Information:
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Interested candidates should be prepared to walk through relevant past work during the interview process. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Internal job postings are open to employees who've completed a minimum tenure in their current role. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Learning and certification support is available for tools and frameworks directly relevant to the role. Compensation includes standard statutory benefits along with performance-linked variable pay. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. High performers in this role typically move into a broader ownership scope within 18-24 months. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
Function: AI Security & Privacy
Industry: Artificial Intelligence (AI)
Grade: mid level
Location: Kochi
Employment Type: Full-time (WFH)
Compensation: INR 19.3-39.9 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with ai security & privacy, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: M.Tech (AI/ML)
Minimum Experience: 5 years
Core Competencies Required: Privacy, Model Deployment (MLOps), AI Security, Cloud Platforms (AWS/GCP/Azure), Data Preprocessing, Computer Vision
Further Information:
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Interested candidates should be prepared to walk through relevant past work during the interview process. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Internal job postings are open to employees who've completed a minimum tenure in their current role. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Learning and certification support is available for tools and frameworks directly relevant to the role. Compensation includes standard statutory benefits along with performance-linked variable pay. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. High performers in this role typically move into a broader ownership scope within 18-24 months. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.