Job Description
**Q: What is this role about?**
A: We're hiring a Machine Learning Engineer – Dialogue Systems to work within Conversational AI, part of the Artificial Intelligence (AI) function.
**Q: What qualification is expected?**
A: B.Tech (CS/AI) or an equivalent, relevant qualification.
**Q: What skills matter most?**
A: Deep Learning, Model Deployment (MLOps), Cloud Platforms (AWS/GCP/Azure), Data Preprocessing, Statistical Modelling, Conversational AI, TensorFlow/PyTorch, Python.
**Q: Where is this based?**
A: Ahmedabad, on a full-time basis.
**Q: What experience is required?**
A: Around 3 years, consistent with a mid level profile.
**Q: What does compensation look like?**
A: INR 24.0-45.6 LPA, depending on experience and interview performance.
**Q: Is there room to grow?**
A: There is a defined internal mobility path for people who want to specialise deeper or move into people management.
**Q: What's the team like?**
A: The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
**Q: What's the interview process like?**
A: Interested candidates should be prepared to walk through relevant past work during the interview process.
**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.
A: We're hiring a Machine Learning Engineer – Dialogue Systems to work within Conversational AI, part of the Artificial Intelligence (AI) function.
**Q: What qualification is expected?**
A: B.Tech (CS/AI) or an equivalent, relevant qualification.
**Q: What skills matter most?**
A: Deep Learning, Model Deployment (MLOps), Cloud Platforms (AWS/GCP/Azure), Data Preprocessing, Statistical Modelling, Conversational AI, TensorFlow/PyTorch, Python.
**Q: Where is this based?**
A: Ahmedabad, on a full-time basis.
**Q: What experience is required?**
A: Around 3 years, consistent with a mid level profile.
**Q: What does compensation look like?**
A: INR 24.0-45.6 LPA, depending on experience and interview performance.
**Q: Is there room to grow?**
A: There is a defined internal mobility path for people who want to specialise deeper or move into people management.
**Q: What's the team like?**
A: The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
**Q: What's the interview process like?**
A: Interested candidates should be prepared to walk through relevant past work during the interview process.
**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.