Job Description
**Q: What qualification is expected?**
A: M.Tech (Machine Learning) or an equivalent, relevant qualification.
**Q: What is this role about?**
A: We're hiring a Prompt Engineer to work within Generative AI, part of the Machine Learning function.
**Q: What experience is required?**
A: Around 3 years, consistent with a mid level profile.
**Q: What does compensation look like?**
A: INR 8.8-34.3 LPA, depending on experience and interview performance.
**Q: What skills matter most?**
A: Machine Learning Algorithms, Feature Engineering, Statistical Modelling, Computer Vision/NLP Basics, Python, Deep Learning, Generative AI, Data Preprocessing.
**Q: Where is this based?**
A: Coimbatore, on a hybrid basis.
**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: What's the interview process like?**
A: References may be requested closer to the offer stage rather than at the start of the process.
**Q: Is there room to grow?**
A: High performers in this role typically move into a broader ownership scope within 18-24 months.
**Q: What's the team like?**
A: The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
A: M.Tech (Machine Learning) or an equivalent, relevant qualification.
**Q: What is this role about?**
A: We're hiring a Prompt Engineer to work within Generative AI, part of the Machine Learning function.
**Q: What experience is required?**
A: Around 3 years, consistent with a mid level profile.
**Q: What does compensation look like?**
A: INR 8.8-34.3 LPA, depending on experience and interview performance.
**Q: What skills matter most?**
A: Machine Learning Algorithms, Feature Engineering, Statistical Modelling, Computer Vision/NLP Basics, Python, Deep Learning, Generative AI, Data Preprocessing.
**Q: Where is this based?**
A: Coimbatore, on a hybrid basis.
**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: What's the interview process like?**
A: References may be requested closer to the offer stage rather than at the start of the process.
**Q: Is there room to grow?**
A: High performers in this role typically move into a broader ownership scope within 18-24 months.
**Q: What's the team like?**
A: The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.