Job Description
**Q: What experience is required?**
A: Around 8 years, consistent with a senior level profile.
**Q: What skills matter most?**
A: Computer Vision, TensorFlow/PyTorch, Statistical Modelling, Computer Vision/NLP Basics, Feature Engineering, Python, Cloud Platforms (AWS/GCP).
**Q: Where is this based?**
A: Coimbatore, on a leadership - full-time basis.
**Q: What is this role about?**
A: We're hiring a Head of Computer Vision to work within Computer Vision, part of the Machine Learning function.
**Q: What qualification is expected?**
A: Ph.D (ML/AI) or an equivalent, relevant qualification.
**Q: What does compensation look like?**
A: INR 30.8-89.9 LPA, depending on experience and interview performance.
**Q: Is there room to grow?**
A: There is a defined internal mobility path for people who want to specialise deeper or move into people management.
**Q: What's the team like?**
A: The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
**Q: What's the interview process like?**
A: Interested candidates should be prepared to walk through relevant past work during the interview process.
**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.
A: Around 8 years, consistent with a senior level profile.
**Q: What skills matter most?**
A: Computer Vision, TensorFlow/PyTorch, Statistical Modelling, Computer Vision/NLP Basics, Feature Engineering, Python, Cloud Platforms (AWS/GCP).
**Q: Where is this based?**
A: Coimbatore, on a leadership - full-time basis.
**Q: What is this role about?**
A: We're hiring a Head of Computer Vision to work within Computer Vision, part of the Machine Learning function.
**Q: What qualification is expected?**
A: Ph.D (ML/AI) or an equivalent, relevant qualification.
**Q: What does compensation look like?**
A: INR 30.8-89.9 LPA, depending on experience and interview performance.
**Q: Is there room to grow?**
A: There is a defined internal mobility path for people who want to specialise deeper or move into people management.
**Q: What's the team like?**
A: The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
**Q: What's the interview process like?**
A: Interested candidates should be prepared to walk through relevant past work during the interview process.
**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.