Job Description
**Q: What does compensation look like?**
A: INR 44.8-73.1 LPA, depending on experience and interview performance.
**Q: What experience is required?**
A: Around 14 years, consistent with a senior level profile.
**Q: What is this role about?**
A: We're hiring a Deep Learning Strategy Lead to work within Deep Learning, part of the Machine Learning function.
**Q: What qualification is expected?**
A: Ph.D (ML/AI) or an equivalent, relevant qualification.
**Q: Where is this based?**
A: Nagpur, on a full-time basis.
**Q: What skills matter most?**
A: Data Preprocessing, Python, MLOps, Computer Vision/NLP Basics, Deep Learning, Statistical Modelling, Feature Engineering.
**Q: What's the interview process like?**
A: Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
**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.
**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: INR 44.8-73.1 LPA, depending on experience and interview performance.
**Q: What experience is required?**
A: Around 14 years, consistent with a senior level profile.
**Q: What is this role about?**
A: We're hiring a Deep Learning Strategy Lead to work within Deep Learning, part of the Machine Learning function.
**Q: What qualification is expected?**
A: Ph.D (ML/AI) or an equivalent, relevant qualification.
**Q: Where is this based?**
A: Nagpur, on a full-time basis.
**Q: What skills matter most?**
A: Data Preprocessing, Python, MLOps, Computer Vision/NLP Basics, Deep Learning, Statistical Modelling, Feature Engineering.
**Q: What's the interview process like?**
A: Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
**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.
**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.