Job Description
**Q: What skills matter most?**
A: Model Evaluation & Tuning, AI Product Management, Cloud Platforms (AWS/GCP), Feature Engineering, Python, Computer Vision/NLP Basics, Deep Learning.
**Q: Where is this based?**
A: Hybrid - Pune, on a hybrid basis.
**Q: What experience is required?**
A: Around 14 years, consistent with a senior level profile.
**Q: What does compensation look like?**
A: INR 48.5-108.2 LPA, depending on experience and interview performance.
**Q: What qualification is expected?**
A: M.Sc (Data Science) or an equivalent, relevant qualification.
**Q: What is this role about?**
A: We're hiring a AI Product Solutions Architect to work within AI Product Management, part of the Machine Learning function.
**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: 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: The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
**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.
A: Model Evaluation & Tuning, AI Product Management, Cloud Platforms (AWS/GCP), Feature Engineering, Python, Computer Vision/NLP Basics, Deep Learning.
**Q: Where is this based?**
A: Hybrid - Pune, on a hybrid basis.
**Q: What experience is required?**
A: Around 14 years, consistent with a senior level profile.
**Q: What does compensation look like?**
A: INR 48.5-108.2 LPA, depending on experience and interview performance.
**Q: What qualification is expected?**
A: M.Sc (Data Science) or an equivalent, relevant qualification.
**Q: What is this role about?**
A: We're hiring a AI Product Solutions Architect to work within AI Product Management, part of the Machine Learning function.
**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: 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: The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
**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.