Job Description
This position calls for an AI Regulatory Compliance Officer who can take ownership of core responsibilities within our AI Governance & Compliance team. This is a mid level opening based out of Hybrid - Pune, offered on a full-time basis.
The ideal candidate holds M.Tech (AI/ML) and brings roughly 3 years of hands-on exposure to ai governance & compliance. Day-to-day, the work draws heavily on AI Governance, Cloud Platforms (AWS/GCP/Azure), Deep Learning, Python, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 7.4-30.5 LPA, in line with market standards for mid level roles within artificial intelligence (ai).
The package is structured with a fixed component, performance bonus, and standard health coverage. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
The next logical step from this position is a senior or lead-track role within the same function. 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. 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. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Internal job postings are open to employees who've completed a minimum tenure in their current role. 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 hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
If your background aligns with the above and you're looking for your next step in AI Governance & Compliance, we'd like to hear from you.
The ideal candidate holds M.Tech (AI/ML) and brings roughly 3 years of hands-on exposure to ai governance & compliance. Day-to-day, the work draws heavily on AI Governance, Cloud Platforms (AWS/GCP/Azure), Deep Learning, Python, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 7.4-30.5 LPA, in line with market standards for mid level roles within artificial intelligence (ai).
The package is structured with a fixed component, performance bonus, and standard health coverage. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
The next logical step from this position is a senior or lead-track role within the same function. 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. 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. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Internal job postings are open to employees who've completed a minimum tenure in their current role. 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 hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
If your background aligns with the above and you're looking for your next step in AI Governance & Compliance, we'd like to hear from you.