Job Description
**Q: What skills matter most?**
A: Deep Learning, Feature Engineering, Python, TensorFlow/PyTorch, Data Preprocessing, Data Engineering.
**Q: What experience is required?**
A: Around 11 years, consistent with a senior level profile.
**Q: What qualification is expected?**
A: M.Sc (Data Science) or an equivalent, relevant qualification.
**Q: Where is this based?**
A: Gurugram, on a full-time basis.
**Q: What does compensation look like?**
A: INR 28.9-55.1 LPA, depending on experience and interview performance.
**Q: What is this role about?**
A: We're hiring a Head of Data Engineering to work within Data Engineering, part of the Machine Learning function.
**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: The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
**Q: What's the team like?**
A: Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
**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.
A: Deep Learning, Feature Engineering, Python, TensorFlow/PyTorch, Data Preprocessing, Data Engineering.
**Q: What experience is required?**
A: Around 11 years, consistent with a senior level profile.
**Q: What qualification is expected?**
A: M.Sc (Data Science) or an equivalent, relevant qualification.
**Q: Where is this based?**
A: Gurugram, on a full-time basis.
**Q: What does compensation look like?**
A: INR 28.9-55.1 LPA, depending on experience and interview performance.
**Q: What is this role about?**
A: We're hiring a Head of Data Engineering to work within Data Engineering, part of the Machine Learning function.
**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: The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
**Q: What's the team like?**
A: Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
**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.