Job Description
**Q: Where is this based?**
A: Kochi, on a full-time basis.
**Q: What experience is required?**
A: Around 7 years, consistent with a mid level profile.
**Q: What skills matter most?**
A: AI Product Management, Feature Engineering, Python, Cloud Platforms (AWS/GCP), MLOps, TensorFlow/PyTorch.
**Q: What is this role about?**
A: We're hiring a AI Product Integration Manager to work within AI Product Management, part of the Machine Learning function.
**Q: What does compensation look like?**
A: INR 5.1-26.6 LPA, depending on experience and interview performance.
**Q: What qualification is expected?**
A: M.Sc (Data Science) or an equivalent, relevant qualification.
**Q: What does a typical day look like?**
A: Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving.
**Q: What's the team like?**
A: The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
**Q: What's the interview process like?**
A: Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
**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: Kochi, on a full-time basis.
**Q: What experience is required?**
A: Around 7 years, consistent with a mid level profile.
**Q: What skills matter most?**
A: AI Product Management, Feature Engineering, Python, Cloud Platforms (AWS/GCP), MLOps, TensorFlow/PyTorch.
**Q: What is this role about?**
A: We're hiring a AI Product Integration Manager to work within AI Product Management, part of the Machine Learning function.
**Q: What does compensation look like?**
A: INR 5.1-26.6 LPA, depending on experience and interview performance.
**Q: What qualification is expected?**
A: M.Sc (Data Science) or an equivalent, relevant qualification.
**Q: What does a typical day look like?**
A: Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving.
**Q: What's the team like?**
A: The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
**Q: What's the interview process like?**
A: Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
**Q: Is there room to grow?**
A: Internal job postings are open to employees who've completed a minimum tenure in their current role.