Job Description
**Q: What qualification is expected?**
A: M.Sc (Data Science) or an equivalent, relevant qualification.
**Q: What does compensation look like?**
A: INR 19.9-87.0 LPA, depending on experience and interview performance.
**Q: What experience is required?**
A: Around 11 years, consistent with a senior level profile.
**Q: What is this role about?**
A: We're hiring a Data Infrastructure Architect to work within Data Engineering, part of the Machine Learning function.
**Q: Where is this based?**
A: Bengaluru, on a leadership - full-time basis.
**Q: What skills matter most?**
A: Data Engineering, TensorFlow/PyTorch, Deep Learning, Statistical Modelling, Feature Engineering, Python.
**Q: What's the team like?**
A: Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
**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 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: High performers in this role typically move into a broader ownership scope within 18-24 months.
A: M.Sc (Data Science) or an equivalent, relevant qualification.
**Q: What does compensation look like?**
A: INR 19.9-87.0 LPA, depending on experience and interview performance.
**Q: What experience is required?**
A: Around 11 years, consistent with a senior level profile.
**Q: What is this role about?**
A: We're hiring a Data Infrastructure Architect to work within Data Engineering, part of the Machine Learning function.
**Q: Where is this based?**
A: Bengaluru, on a leadership - full-time basis.
**Q: What skills matter most?**
A: Data Engineering, TensorFlow/PyTorch, Deep Learning, Statistical Modelling, Feature Engineering, Python.
**Q: What's the team like?**
A: Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
**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 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: High performers in this role typically move into a broader ownership scope within 18-24 months.