Job Description
**Q: What does compensation look like?**
A: INR 8.4-76.2 LPA, depending on experience and interview performance.
**Q: What skills matter most?**
A: Natural Language Processing, Statistical Modelling, Neural Network Architectures, Python, Machine Learning, driven Marketing, Deep Learning, TensorFlow/PyTorch, Cloud Platforms (AWS/GCP/Azure).
**Q: What is this role about?**
A: We're hiring a AI Marketing Technology Director to work within AI-driven Marketing, part of the Artificial Intelligence (AI) function.
**Q: Where is this based?**
A: Mumbai, on a leadership - full-time basis.
**Q: What experience is required?**
A: Around 16 years, consistent with a senior level profile.
**Q: What qualification is expected?**
A: M.Sc (Data Science) or an equivalent, relevant qualification.
**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: Is there room to grow?**
A: The organisation has historically promoted from within for a majority of its senior and lead openings.
**Q: What does a typical day look like?**
A: Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
**Q: What's the interview process like?**
A: References may be requested closer to the offer stage rather than at the start of the process.
A: INR 8.4-76.2 LPA, depending on experience and interview performance.
**Q: What skills matter most?**
A: Natural Language Processing, Statistical Modelling, Neural Network Architectures, Python, Machine Learning, driven Marketing, Deep Learning, TensorFlow/PyTorch, Cloud Platforms (AWS/GCP/Azure).
**Q: What is this role about?**
A: We're hiring a AI Marketing Technology Director to work within AI-driven Marketing, part of the Artificial Intelligence (AI) function.
**Q: Where is this based?**
A: Mumbai, on a leadership - full-time basis.
**Q: What experience is required?**
A: Around 16 years, consistent with a senior level profile.
**Q: What qualification is expected?**
A: M.Sc (Data Science) or an equivalent, relevant qualification.
**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: Is there room to grow?**
A: The organisation has historically promoted from within for a majority of its senior and lead openings.
**Q: What does a typical day look like?**
A: Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
**Q: What's the interview process like?**
A: References may be requested closer to the offer stage rather than at the start of the process.