Job Description
We are looking to onboard an AI Threat & Vulnerability Analyst to strengthen our AI Security & Privacy function within Artificial Intelligence (AI). This is a mid level opening based out of Chennai, offered on a hybrid basis.
The ideal candidate holds M.Tech (AI/ML) and brings roughly 4 years of hands-on exposure to ai security & privacy. Day-to-day, the work draws heavily on Data Preprocessing, Machine Learning, AI Security, Statistical Modelling, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 24.0-36.4 LPA, in line with market standards for mid level roles within artificial intelligence (ai).
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. High performers in this role typically move into a broader ownership scope within 18-24 months.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. References may be requested closer to the offer stage rather than at the start of the process.
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.
The next logical step from this position is a senior or lead-track role within the same function. Internal job postings are open to employees who've completed a minimum tenure in their current role. 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. Compensation includes standard statutory benefits along with performance-linked variable pay.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
We value consistency and follow-through more than flashy credentials - if that matches how you work, apply in.
The ideal candidate holds M.Tech (AI/ML) and brings roughly 4 years of hands-on exposure to ai security & privacy. Day-to-day, the work draws heavily on Data Preprocessing, Machine Learning, AI Security, Statistical Modelling, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 24.0-36.4 LPA, in line with market standards for mid level roles within artificial intelligence (ai).
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. High performers in this role typically move into a broader ownership scope within 18-24 months.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. References may be requested closer to the offer stage rather than at the start of the process.
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.
The next logical step from this position is a senior or lead-track role within the same function. Internal job postings are open to employees who've completed a minimum tenure in their current role. 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. Compensation includes standard statutory benefits along with performance-linked variable pay.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
We value consistency and follow-through more than flashy credentials - if that matches how you work, apply in.