Job Description
## Head of AI Threat Intelligence
**Department:** AI Security & Privacy | **Industry:** Artificial Intelligence (AI)
**Location:** Mumbai | **Job Type:** Full-time | **CTC:** INR 34.2-57.7 LPA
### Role Overview
The organisation is seeking a qualified Head of AI Threat Intelligence to support ongoing initiatives in AI Security & Privacy. The role is positioned at the senior level and reports into the broader AI Security & Privacy charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to ai security & privacy.
- Apply working knowledge of Cloud Platforms (AWS/GCP/Azure) and Statistical Modelling to daily execution.
- Coordinate with cross-functional stakeholders within Artificial Intelligence (AI).
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- M.Tech (AI/ML) or equivalent qualification.
- 9 years of relevant experience (senior level).
- Working proficiency in: Cloud Platforms (AWS/GCP/Azure), Statistical Modelling, AI Security, Computer Vision, Natural Language Processing, Model Deployment (MLOps), Python, Privacy, Data Preprocessing.
### Additional Notes
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving. There is a defined internal mobility path for people who want to specialise deeper or move into people management. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Compensation includes standard statutory benefits along with performance-linked variable pay. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The package is structured with a fixed component, performance bonus, and standard health coverage. Interested candidates should be prepared to walk through relevant past work during the interview process. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
**Department:** AI Security & Privacy | **Industry:** Artificial Intelligence (AI)
**Location:** Mumbai | **Job Type:** Full-time | **CTC:** INR 34.2-57.7 LPA
### Role Overview
The organisation is seeking a qualified Head of AI Threat Intelligence to support ongoing initiatives in AI Security & Privacy. The role is positioned at the senior level and reports into the broader AI Security & Privacy charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to ai security & privacy.
- Apply working knowledge of Cloud Platforms (AWS/GCP/Azure) and Statistical Modelling to daily execution.
- Coordinate with cross-functional stakeholders within Artificial Intelligence (AI).
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- M.Tech (AI/ML) or equivalent qualification.
- 9 years of relevant experience (senior level).
- Working proficiency in: Cloud Platforms (AWS/GCP/Azure), Statistical Modelling, AI Security, Computer Vision, Natural Language Processing, Model Deployment (MLOps), Python, Privacy, Data Preprocessing.
### Additional Notes
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving. There is a defined internal mobility path for people who want to specialise deeper or move into people management. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Compensation includes standard statutory benefits along with performance-linked variable pay. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The package is structured with a fixed component, performance bonus, and standard health coverage. Interested candidates should be prepared to walk through relevant past work during the interview process. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.