Job Description
**Q: Where is this based?**
A: Delhi NCR, on a full-time basis.
**Q: What skills matter most?**
A: AI for Business Intelligence, Machine Learning, TensorFlow/PyTorch, Python, Data Preprocessing, Deep Learning, Model Deployment (MLOps).
**Q: What is this role about?**
A: We're hiring a Senior Machine Learning Engineer – BI to work within AI for Business Intelligence, part of the Artificial Intelligence (AI) function.
**Q: What experience is required?**
A: Around 16 years, consistent with a senior level profile.
**Q: What does compensation look like?**
A: INR 34.0-56.3 LPA, depending on experience and interview performance.
**Q: What qualification is expected?**
A: M.Tech (AI/ML) or an equivalent, relevant qualification.
**Q: What's the team like?**
A: Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
**Q: What does a typical day look like?**
A: Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
**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 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.
A: Delhi NCR, on a full-time basis.
**Q: What skills matter most?**
A: AI for Business Intelligence, Machine Learning, TensorFlow/PyTorch, Python, Data Preprocessing, Deep Learning, Model Deployment (MLOps).
**Q: What is this role about?**
A: We're hiring a Senior Machine Learning Engineer – BI to work within AI for Business Intelligence, part of the Artificial Intelligence (AI) function.
**Q: What experience is required?**
A: Around 16 years, consistent with a senior level profile.
**Q: What does compensation look like?**
A: INR 34.0-56.3 LPA, depending on experience and interview performance.
**Q: What qualification is expected?**
A: M.Tech (AI/ML) or an equivalent, relevant qualification.
**Q: What's the team like?**
A: Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
**Q: What does a typical day look like?**
A: Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
**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 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.