Job Description
**Q: What skills matter most?**
A: Natural Language Processing, AI Training, Machine Learning, TensorFlow/PyTorch, Upskilling Programs, Deep Learning.
**Q: What qualification is expected?**
A: M.Sc (Data Science) or an equivalent, relevant qualification.
**Q: Where is this based?**
A: Indore, on a hybrid basis.
**Q: What experience is required?**
A: Around 5 years, consistent with a mid level profile.
**Q: What is this role about?**
A: We're hiring a AI Program Lead – Training & Upskilling to work within AI Training & Upskilling Programs, part of the Artificial Intelligence (AI) function.
**Q: What does compensation look like?**
A: INR 20.4-51.4 LPA, depending on experience and interview performance.
**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 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: The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
**Q: What does a typical day look like?**
A: Most days include at least one review checkpoint where progress is discussed against the plan for the week.
A: Natural Language Processing, AI Training, Machine Learning, TensorFlow/PyTorch, Upskilling Programs, Deep Learning.
**Q: What qualification is expected?**
A: M.Sc (Data Science) or an equivalent, relevant qualification.
**Q: Where is this based?**
A: Indore, on a hybrid basis.
**Q: What experience is required?**
A: Around 5 years, consistent with a mid level profile.
**Q: What is this role about?**
A: We're hiring a AI Program Lead – Training & Upskilling to work within AI Training & Upskilling Programs, part of the Artificial Intelligence (AI) function.
**Q: What does compensation look like?**
A: INR 20.4-51.4 LPA, depending on experience and interview performance.
**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 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: The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
**Q: What does a typical day look like?**
A: Most days include at least one review checkpoint where progress is discussed against the plan for the week.