Job Description
**AI Model Security Director** | Noida | Full-time | INR 48.9-75.1 LPA
**About the role:**
- Position within AI Security & Privacy, under the Artificial Intelligence (AI) vertical
- Level: senior level
- Reports to the functional head for AI Security & Privacy
**What you'll do:**
- Handle core ai security & privacy activities on a day-to-day basis
- Use Python regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- Python
- Cloud Platforms (AWS/GCP/Azure)
- AI Security
- TensorFlow/PyTorch
- Data Preprocessing
- Machine Learning
- Statistical Modelling
- Privacy
- M.Tech (AI/ML)
- 8+ years of relevant experience
**Good to know:**
- Learning and certification support is available for tools and frameworks directly relevant to the role. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
- New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
- In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
- The organisation has historically promoted from within for a majority of its senior and lead openings. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
- Compensation includes standard statutory benefits along with performance-linked variable pay. 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.
- Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
- The package is structured with a fixed component, performance bonus, and standard health coverage. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
- Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
**About the role:**
- Position within AI Security & Privacy, under the Artificial Intelligence (AI) vertical
- Level: senior level
- Reports to the functional head for AI Security & Privacy
**What you'll do:**
- Handle core ai security & privacy activities on a day-to-day basis
- Use Python regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- Python
- Cloud Platforms (AWS/GCP/Azure)
- AI Security
- TensorFlow/PyTorch
- Data Preprocessing
- Machine Learning
- Statistical Modelling
- Privacy
- M.Tech (AI/ML)
- 8+ years of relevant experience
**Good to know:**
- Learning and certification support is available for tools and frameworks directly relevant to the role. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
- New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
- In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
- The organisation has historically promoted from within for a majority of its senior and lead openings. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
- Compensation includes standard statutory benefits along with performance-linked variable pay. 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.
- Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
- The package is structured with a fixed component, performance bonus, and standard health coverage. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
- Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.