Job Description
**Q: Where is this based?**
A: Noida, on a full-time (wfh) basis.
**Q: What qualification is expected?**
A: M.Tech (Machine Learning) or an equivalent, relevant qualification.
**Q: What does compensation look like?**
A: INR 10.2-15.4 LPA, depending on experience and interview performance.
**Q: What experience is required?**
A: Around 2 years, consistent with a junior level profile.
**Q: What skills matter most?**
A: Compliance, AI Policy, Feature Engineering, Cloud Platforms (AWS/GCP).
**Q: What is this role about?**
A: We're hiring a AI Policy Insights Analyst to work within AI Policy & Compliance, part of the Machine Learning function.
**Q: What's the interview process like?**
A: Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
**Q: What does a typical day look like?**
A: The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
**Q: What's the team like?**
A: Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
**Q: Is there room to grow?**
A: Internal job postings are open to employees who've completed a minimum tenure in their current role.
A: Noida, on a full-time (wfh) basis.
**Q: What qualification is expected?**
A: M.Tech (Machine Learning) or an equivalent, relevant qualification.
**Q: What does compensation look like?**
A: INR 10.2-15.4 LPA, depending on experience and interview performance.
**Q: What experience is required?**
A: Around 2 years, consistent with a junior level profile.
**Q: What skills matter most?**
A: Compliance, AI Policy, Feature Engineering, Cloud Platforms (AWS/GCP).
**Q: What is this role about?**
A: We're hiring a AI Policy Insights Analyst to work within AI Policy & Compliance, part of the Machine Learning function.
**Q: What's the interview process like?**
A: Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
**Q: What does a typical day look like?**
A: The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
**Q: What's the team like?**
A: Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
**Q: Is there room to grow?**
A: Internal job postings are open to employees who've completed a minimum tenure in their current role.