Job Description
**Q: What qualification is expected?**
A: Ph.D (ML/AI) or an equivalent, relevant qualification.
**Q: What skills matter most?**
A: Model Evaluation & Tuning, Python, MLOps, Deep Learning, TensorFlow/PyTorch, AI Product Management, Data Preprocessing, Computer Vision/NLP Basics.
**Q: What is this role about?**
A: We're hiring a AI Product Systems Architect to work within AI Product Management, part of the Machine Learning function.
**Q: Where is this based?**
A: Hybrid - Bengaluru, on a full-time basis.
**Q: What experience is required?**
A: Around 16 years, consistent with a senior level profile.
**Q: What does compensation look like?**
A: INR 49.6-107.1 LPA, depending on experience and interview performance.
**Q: What does a typical day look like?**
A: No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
**Q: Is there room to grow?**
A: Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
**Q: What's the team like?**
A: Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
**Q: What's the interview process like?**
A: Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
A: Ph.D (ML/AI) or an equivalent, relevant qualification.
**Q: What skills matter most?**
A: Model Evaluation & Tuning, Python, MLOps, Deep Learning, TensorFlow/PyTorch, AI Product Management, Data Preprocessing, Computer Vision/NLP Basics.
**Q: What is this role about?**
A: We're hiring a AI Product Systems Architect to work within AI Product Management, part of the Machine Learning function.
**Q: Where is this based?**
A: Hybrid - Bengaluru, on a full-time basis.
**Q: What experience is required?**
A: Around 16 years, consistent with a senior level profile.
**Q: What does compensation look like?**
A: INR 49.6-107.1 LPA, depending on experience and interview performance.
**Q: What does a typical day look like?**
A: No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
**Q: Is there room to grow?**
A: Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
**Q: What's the team like?**
A: Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
**Q: What's the interview process like?**
A: Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.