Job Description
**Q: What is this role about?**
A: We're hiring a Machine Learning Application Architect to work within Machine Learning Engineering, part of the Machine Learning function.
**Q: What skills matter most?**
A: TensorFlow/PyTorch, Cloud Platforms (AWS/GCP), Data Preprocessing, Python, Feature Engineering, Machine Learning Engineering.
**Q: What qualification is expected?**
A: M.Tech (Machine Learning) or an equivalent, relevant qualification.
**Q: What experience is required?**
A: Around 6 years, consistent with a mid level profile.
**Q: What does compensation look like?**
A: INR 5.9-24.9 LPA, depending on experience and interview performance.
**Q: Where is this based?**
A: Mumbai, on a full-time basis.
**Q: Is there room to grow?**
A: Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
**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: 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 team like?**
A: The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
A: We're hiring a Machine Learning Application Architect to work within Machine Learning Engineering, part of the Machine Learning function.
**Q: What skills matter most?**
A: TensorFlow/PyTorch, Cloud Platforms (AWS/GCP), Data Preprocessing, Python, Feature Engineering, Machine Learning Engineering.
**Q: What qualification is expected?**
A: M.Tech (Machine Learning) or an equivalent, relevant qualification.
**Q: What experience is required?**
A: Around 6 years, consistent with a mid level profile.
**Q: What does compensation look like?**
A: INR 5.9-24.9 LPA, depending on experience and interview performance.
**Q: Where is this based?**
A: Mumbai, on a full-time basis.
**Q: Is there room to grow?**
A: Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
**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: 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 team like?**
A: The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.