Job Description
**Q: What is this role about?**
A: We're hiring a Senior Machine Learning Engineer – Dialogue Systems to work within Conversational AI, part of the Artificial Intelligence (AI) function.
**Q: What skills matter most?**
A: Cloud Platforms (AWS/GCP/Azure), Conversational AI, Model Deployment (MLOps), Natural Language Processing, Data Preprocessing, Python, Neural Network Architectures.
**Q: Where is this based?**
A: Nagpur, on a full-time basis.
**Q: What qualification is expected?**
A: M.Tech (AI/ML) or an equivalent, relevant qualification.
**Q: What does compensation look like?**
A: INR 31.5-55.1 LPA, depending on experience and interview performance.
**Q: What experience is required?**
A: Around 8 years, consistent with a senior level profile.
**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 does a typical day look like?**
A: The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
**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 interview process like?**
A: Interested candidates should be prepared to walk through relevant past work during the interview process.
A: We're hiring a Senior Machine Learning Engineer – Dialogue Systems to work within Conversational AI, part of the Artificial Intelligence (AI) function.
**Q: What skills matter most?**
A: Cloud Platforms (AWS/GCP/Azure), Conversational AI, Model Deployment (MLOps), Natural Language Processing, Data Preprocessing, Python, Neural Network Architectures.
**Q: Where is this based?**
A: Nagpur, on a full-time basis.
**Q: What qualification is expected?**
A: M.Tech (AI/ML) or an equivalent, relevant qualification.
**Q: What does compensation look like?**
A: INR 31.5-55.1 LPA, depending on experience and interview performance.
**Q: What experience is required?**
A: Around 8 years, consistent with a senior level profile.
**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 does a typical day look like?**
A: The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
**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 interview process like?**
A: Interested candidates should be prepared to walk through relevant past work during the interview process.