Job Description
We are looking to onboard an AI Risk & Ethics Coordinator to strengthen our AI Governance & Compliance function within Artificial Intelligence (AI). This is a junior level opening based out of Delhi NCR, offered on a full-time basis.
The ideal candidate holds B.Tech (CS/AI) and brings roughly 2 years of hands-on exposure to ai governance & compliance. Day-to-day, the work draws heavily on Data Preprocessing, Compliance, TensorFlow/PyTorch, AI Governance, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 11.0-23.3 LPA, in line with market standards for junior level roles within artificial intelligence (ai).
References may be requested closer to the offer stage rather than at the start of the process. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
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.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Internal job postings are open to employees who've completed a minimum tenure in their current role.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
Most days include at least one review checkpoint where progress is discussed against the plan for the week. 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 package is structured with a fixed component, performance bonus, and standard health coverage. Compensation includes standard statutory benefits along with performance-linked variable pay.
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 B.Tech (CS/AI) and brings roughly 2 years of hands-on exposure to ai governance & compliance. Day-to-day, the work draws heavily on Data Preprocessing, Compliance, TensorFlow/PyTorch, AI Governance, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 11.0-23.3 LPA, in line with market standards for junior level roles within artificial intelligence (ai).
References may be requested closer to the offer stage rather than at the start of the process. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
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.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Internal job postings are open to employees who've completed a minimum tenure in their current role.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
Most days include at least one review checkpoint where progress is discussed against the plan for the week. 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 package is structured with a fixed component, performance bonus, and standard health coverage. Compensation includes standard statutory benefits along with performance-linked variable pay.
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.