Job Description
This position calls for an AI Ethics & Privacy Specialist who can take ownership of core responsibilities within our AI Security & Privacy team. This is a mid level opening based out of Chandigarh, offered on a contract basis.
The ideal candidate holds M.Tech (AI/ML) and brings roughly 3 years of hands-on exposure to ai security & privacy. Day-to-day, the work draws heavily on Statistical Modelling, Cloud Platforms (AWS/GCP/Azure), AI Security, Privacy, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 19.1-38.0 LPA, in line with market standards for mid level roles within artificial intelligence (ai).
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
High performers in this role typically move into a broader ownership scope within 18-24 months. Learning and certification support is available for tools and frameworks directly relevant to the role.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. References may be requested closer to the offer stage rather than at the start of the process.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The next logical step from this position is a senior or lead-track role within the same function.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The package is structured with a fixed component, performance bonus, and standard health coverage.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
Internal job postings are open to employees who've completed a minimum tenure in their current role. 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. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
Compensation includes standard statutory benefits along with performance-linked variable pay. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
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. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
This role offers a genuine opportunity to build depth in AI Security & Privacy while working alongside an experienced team.
The ideal candidate holds M.Tech (AI/ML) and brings roughly 3 years of hands-on exposure to ai security & privacy. Day-to-day, the work draws heavily on Statistical Modelling, Cloud Platforms (AWS/GCP/Azure), AI Security, Privacy, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 19.1-38.0 LPA, in line with market standards for mid level roles within artificial intelligence (ai).
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
High performers in this role typically move into a broader ownership scope within 18-24 months. Learning and certification support is available for tools and frameworks directly relevant to the role.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. References may be requested closer to the offer stage rather than at the start of the process.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The next logical step from this position is a senior or lead-track role within the same function.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The package is structured with a fixed component, performance bonus, and standard health coverage.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
Internal job postings are open to employees who've completed a minimum tenure in their current role. 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. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
Compensation includes standard statutory benefits along with performance-linked variable pay. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
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. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
This role offers a genuine opportunity to build depth in AI Security & Privacy while working alongside an experienced team.