Job Description
**Q: What qualification is expected?**
A: M.Tech (AI/ML) or an equivalent, relevant qualification.
**Q: Where is this based?**
A: Indore, on a full-time basis.
**Q: What does compensation look like?**
A: INR 42.1-71.6 LPA, depending on experience and interview performance.
**Q: What skills matter most?**
A: Natural Language Processing, Statistical Modelling, Data Preprocessing, Machine Learning, AI Governance, Compliance, Model Deployment (MLOps), Cloud Platforms (AWS/GCP/Azure).
**Q: What experience is required?**
A: Around 11 years, consistent with a senior level profile.
**Q: What is this role about?**
A: We're hiring a Head of AI Audit & Governance to work within AI Governance & Compliance, part of the Artificial Intelligence (AI) function.
**Q: What does a typical day look like?**
A: Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
**Q: Is there room to grow?**
A: Learning and certification support is available for tools and frameworks directly relevant to the role.
**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's the team like?**
A: The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
A: M.Tech (AI/ML) or an equivalent, relevant qualification.
**Q: Where is this based?**
A: Indore, on a full-time basis.
**Q: What does compensation look like?**
A: INR 42.1-71.6 LPA, depending on experience and interview performance.
**Q: What skills matter most?**
A: Natural Language Processing, Statistical Modelling, Data Preprocessing, Machine Learning, AI Governance, Compliance, Model Deployment (MLOps), Cloud Platforms (AWS/GCP/Azure).
**Q: What experience is required?**
A: Around 11 years, consistent with a senior level profile.
**Q: What is this role about?**
A: We're hiring a Head of AI Audit & Governance to work within AI Governance & Compliance, part of the Artificial Intelligence (AI) function.
**Q: What does a typical day look like?**
A: Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
**Q: Is there room to grow?**
A: Learning and certification support is available for tools and frameworks directly relevant to the role.
**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's the team like?**
A: The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.