Job Description
**Q: What qualification is expected?**
A: M.Tech (Machine Learning) or an equivalent, relevant qualification.
**Q: What does compensation look like?**
A: INR 40.8-63.8 LPA, depending on experience and interview performance.
**Q: What skills matter most?**
A: Statistical Modelling, Deep Learning, Python, Model Evaluation & Tuning, Machine Learning Engineering, Machine Learning Algorithms, Data Preprocessing.
**Q: What experience is required?**
A: Around 8 years, consistent with a senior level profile.
**Q: What is this role about?**
A: We're hiring a Machine Learning Infrastructure Architect to work within Machine Learning Engineering, part of the Machine Learning function.
**Q: Where is this based?**
A: Noida, on a leadership - full-time basis.
**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.
**Q: What does a typical day look like?**
A: Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
**Q: Is there room to grow?**
A: The organisation has historically promoted from within for a majority of its senior and lead openings.
A: M.Tech (Machine Learning) or an equivalent, relevant qualification.
**Q: What does compensation look like?**
A: INR 40.8-63.8 LPA, depending on experience and interview performance.
**Q: What skills matter most?**
A: Statistical Modelling, Deep Learning, Python, Model Evaluation & Tuning, Machine Learning Engineering, Machine Learning Algorithms, Data Preprocessing.
**Q: What experience is required?**
A: Around 8 years, consistent with a senior level profile.
**Q: What is this role about?**
A: We're hiring a Machine Learning Infrastructure Architect to work within Machine Learning Engineering, part of the Machine Learning function.
**Q: Where is this based?**
A: Noida, on a leadership - full-time basis.
**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.
**Q: What does a typical day look like?**
A: Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
**Q: Is there room to grow?**
A: The organisation has historically promoted from within for a majority of its senior and lead openings.