Job Description
**Q: What experience is required?**
A: Around 7 years, consistent with a mid level profile.
**Q: What does compensation look like?**
A: INR 10.8-38.1 LPA, depending on experience and interview performance.
**Q: What skills matter most?**
A: Computer Vision/NLP Basics, Feature Engineering, Model Evaluation & Tuning, Statistical Modelling, Generative AI, Cloud Platforms (AWS/GCP), Python.
**Q: What qualification is expected?**
A: M.Sc (Data Science) or an equivalent, relevant qualification.
**Q: Where is this based?**
A: Hybrid - Pune, on a full-time basis.
**Q: What is this role about?**
A: We're hiring a Generative AI Model Engineer to work within Generative AI, part of the Machine Learning function.
**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's the interview process like?**
A: References may be requested closer to the offer stage rather than at the start of the process.
**Q: What does a typical day look like?**
A: The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
A: Around 7 years, consistent with a mid level profile.
**Q: What does compensation look like?**
A: INR 10.8-38.1 LPA, depending on experience and interview performance.
**Q: What skills matter most?**
A: Computer Vision/NLP Basics, Feature Engineering, Model Evaluation & Tuning, Statistical Modelling, Generative AI, Cloud Platforms (AWS/GCP), Python.
**Q: What qualification is expected?**
A: M.Sc (Data Science) or an equivalent, relevant qualification.
**Q: Where is this based?**
A: Hybrid - Pune, on a full-time basis.
**Q: What is this role about?**
A: We're hiring a Generative AI Model Engineer to work within Generative AI, part of the Machine Learning function.
**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's the interview process like?**
A: References may be requested closer to the offer stage rather than at the start of the process.
**Q: What does a typical day look like?**
A: The role alternates between independent deep work and short coordination huddles with stakeholders across functions.