Job Description
We're hiring an AI Compliance Documentation Assistant to join our growing AI Governance & Compliance team - if this sounds like your kind of work, read on.
You'll be working out of Remote (Pan India) (full-time), and honestly, the day-to-day is going to revolve around TensorFlow/PyTorch and Compliance. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai governance & compliance.
On paper, we'd expect B.Tech (CS/AI) and somewhere around 1 years of experience, but we're just as interested in how you think as in what's on your resume.
Pay-wise, we're offering INR 5.7-21.1 LPA - fair for the junior level band and open to discussion based on what you bring.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The next logical step from this position is a senior or lead-track role within the same function.
References may be requested closer to the offer stage rather than at the start of the process. The organisation has historically promoted from within for a majority of its senior and lead openings.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Compensation includes standard statutory benefits along with performance-linked variable pay.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
You'll be working out of Remote (Pan India) (full-time), and honestly, the day-to-day is going to revolve around TensorFlow/PyTorch and Compliance. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai governance & compliance.
On paper, we'd expect B.Tech (CS/AI) and somewhere around 1 years of experience, but we're just as interested in how you think as in what's on your resume.
Pay-wise, we're offering INR 5.7-21.1 LPA - fair for the junior level band and open to discussion based on what you bring.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The next logical step from this position is a senior or lead-track role within the same function.
References may be requested closer to the offer stage rather than at the start of the process. The organisation has historically promoted from within for a majority of its senior and lead openings.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Compensation includes standard statutory benefits along with performance-linked variable pay.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.