Job Description
**AI Secure Systems Engineer** | Nagpur | Hybrid | INR 8.5-28.9 LPA
**About the role:**
- Position within AI Security & Privacy, under the Artificial Intelligence (AI) vertical
- Level: mid 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 Machine Learning 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:**
- Machine Learning
- Privacy
- Neural Network Architectures
- AI Security
- Deep Learning
- M.Tech (AI/ML)
- 6+ years of relevant experience
**Good to know:**
- Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
- A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The organisation has historically promoted from within for a majority of its senior and lead openings. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
- Most days include at least one review checkpoint where progress is discussed against the plan for the week. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
- The next logical step from this position is a senior or lead-track role within the same function. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
- Learning and certification support is available for tools and frameworks directly relevant to the role. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
- Internal job postings are open to employees who've completed a minimum tenure in their current role. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
- There is a defined internal mobility path for people who want to specialise deeper or move into people management. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
- 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. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
- Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
- There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. High performers in this role typically move into a broader ownership scope within 18-24 months. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
**About the role:**
- Position within AI Security & Privacy, under the Artificial Intelligence (AI) vertical
- Level: mid 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 Machine Learning 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:**
- Machine Learning
- Privacy
- Neural Network Architectures
- AI Security
- Deep Learning
- M.Tech (AI/ML)
- 6+ years of relevant experience
**Good to know:**
- Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
- A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The organisation has historically promoted from within for a majority of its senior and lead openings. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
- Most days include at least one review checkpoint where progress is discussed against the plan for the week. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
- The next logical step from this position is a senior or lead-track role within the same function. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
- Learning and certification support is available for tools and frameworks directly relevant to the role. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
- Internal job postings are open to employees who've completed a minimum tenure in their current role. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
- There is a defined internal mobility path for people who want to specialise deeper or move into people management. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
- 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. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
- Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
- There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. High performers in this role typically move into a broader ownership scope within 18-24 months. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.