Job Description
**Q: What does compensation look like?**
A: INR 21.3-55.9 LPA, depending on experience and interview performance.
**Q: What qualification is expected?**
A: M.Tech (AI/ML) or an equivalent, relevant qualification.
**Q: What experience is required?**
A: Around 11 years, consistent with a senior level profile.
**Q: What skills matter most?**
A: Deep Learning, Machine Learning, Neural Network Architectures, AI Product Management, Python, Data Preprocessing, Cloud Platforms (AWS/GCP/Azure), Statistical Modelling, Computer Vision.
**Q: Where is this based?**
A: Kochi, on a hybrid basis.
**Q: What is this role about?**
A: We're hiring a Principal AI Product Manager to work within AI Product Management, 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: What's the interview process like?**
A: Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
**Q: Is there room to grow?**
A: Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
**Q: What's the team like?**
A: Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
A: INR 21.3-55.9 LPA, depending on experience and interview performance.
**Q: What qualification is expected?**
A: M.Tech (AI/ML) or an equivalent, relevant qualification.
**Q: What experience is required?**
A: Around 11 years, consistent with a senior level profile.
**Q: What skills matter most?**
A: Deep Learning, Machine Learning, Neural Network Architectures, AI Product Management, Python, Data Preprocessing, Cloud Platforms (AWS/GCP/Azure), Statistical Modelling, Computer Vision.
**Q: Where is this based?**
A: Kochi, on a hybrid basis.
**Q: What is this role about?**
A: We're hiring a Principal AI Product Manager to work within AI Product Management, 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: What's the interview process like?**
A: Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
**Q: Is there room to grow?**
A: Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
**Q: What's the team like?**
A: Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.