Job Description
AI Privacy & Data Protection Director | Jaipur | INR 33.7-92.2 LPA
AI Security & Privacy role, senior level, leadership - full-time.
Need: Ph.D (AI), 11+ yrs.
Core skills: Machine Learning, AI Security, Natural Language Processing, TensorFlow/PyTorch, Privacy.
If this fits your profile in ai security & privacy, apply now.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
The next logical step from this position is a senior or lead-track role within the same function. Relocation assistance may be extended for candidates moving from a different city, subject to approval. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Learning and certification support is available for tools and frameworks directly relevant to the role.
High performers in this role typically move into a broader ownership scope within 18-24 months. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
Internal job postings are open to employees who've completed a minimum tenure in their current role. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
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. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
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.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Compensation includes standard statutory benefits along with performance-linked variable pay.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. 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.
The package is structured with a fixed component, performance bonus, and standard health coverage. References may be requested closer to the offer stage rather than at the start of the process.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Interested candidates should be prepared to walk through relevant past work during the interview process.
AI Security & Privacy role, senior level, leadership - full-time.
Need: Ph.D (AI), 11+ yrs.
Core skills: Machine Learning, AI Security, Natural Language Processing, TensorFlow/PyTorch, Privacy.
If this fits your profile in ai security & privacy, apply now.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
The next logical step from this position is a senior or lead-track role within the same function. Relocation assistance may be extended for candidates moving from a different city, subject to approval. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Learning and certification support is available for tools and frameworks directly relevant to the role.
High performers in this role typically move into a broader ownership scope within 18-24 months. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
Internal job postings are open to employees who've completed a minimum tenure in their current role. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
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. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
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.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Compensation includes standard statutory benefits along with performance-linked variable pay.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. 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.
The package is structured with a fixed component, performance bonus, and standard health coverage. References may be requested closer to the offer stage rather than at the start of the process.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Interested candidates should be prepared to walk through relevant past work during the interview process.