Job Description
**Q: Where is this based?**
A: Hybrid - Pune, on a full-time basis.
**Q: What does compensation look like?**
A: INR 34.3-62.3 LPA, depending on experience and interview performance.
**Q: What is this role about?**
A: We're hiring a Global MLOps Consultant to work within MLOps, part of the Machine Learning function.
**Q: What skills matter most?**
A: Deep Learning, Python, Statistical Modelling, Feature Engineering, Machine Learning Algorithms, Model Evaluation & Tuning, MLOps.
**Q: What qualification is expected?**
A: Ph.D (ML/AI) or an equivalent, relevant qualification.
**Q: What experience is required?**
A: Around 12 years, consistent with a senior level profile.
**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 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'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: A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
A: Hybrid - Pune, on a full-time basis.
**Q: What does compensation look like?**
A: INR 34.3-62.3 LPA, depending on experience and interview performance.
**Q: What is this role about?**
A: We're hiring a Global MLOps Consultant to work within MLOps, part of the Machine Learning function.
**Q: What skills matter most?**
A: Deep Learning, Python, Statistical Modelling, Feature Engineering, Machine Learning Algorithms, Model Evaluation & Tuning, MLOps.
**Q: What qualification is expected?**
A: Ph.D (ML/AI) or an equivalent, relevant qualification.
**Q: What experience is required?**
A: Around 12 years, consistent with a senior level profile.
**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 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'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: A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.