Job Description
**Q: What is this role about?**
A: We're hiring a Predictive Analytics Engineer – Business Intelligence to work within AI for Business Intelligence, part of the Artificial Intelligence (AI) function.
**Q: What does compensation look like?**
A: INR 6.8-17.9 LPA, depending on experience and interview performance.
**Q: What qualification is expected?**
A: M.Tech (AI/ML) or an equivalent, relevant qualification.
**Q: What experience is required?**
A: Around 6 years, consistent with a mid level profile.
**Q: Where is this based?**
A: Hyderabad, on a hybrid basis.
**Q: What skills matter most?**
A: Model Deployment (MLOps), Cloud Platforms (AWS/GCP/Azure), AI for Business Intelligence, Computer Vision, Python, Deep Learning, TensorFlow/PyTorch, Machine Learning.
**Q: What's the team like?**
A: Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
**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: What's the interview process like?**
A: Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
**Q: Is there room to grow?**
A: The next logical step from this position is a senior or lead-track role within the same function.
A: We're hiring a Predictive Analytics Engineer – Business Intelligence to work within AI for Business Intelligence, part of the Artificial Intelligence (AI) function.
**Q: What does compensation look like?**
A: INR 6.8-17.9 LPA, depending on experience and interview performance.
**Q: What qualification is expected?**
A: M.Tech (AI/ML) or an equivalent, relevant qualification.
**Q: What experience is required?**
A: Around 6 years, consistent with a mid level profile.
**Q: Where is this based?**
A: Hyderabad, on a hybrid basis.
**Q: What skills matter most?**
A: Model Deployment (MLOps), Cloud Platforms (AWS/GCP/Azure), AI for Business Intelligence, Computer Vision, Python, Deep Learning, TensorFlow/PyTorch, Machine Learning.
**Q: What's the team like?**
A: Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
**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: What's the interview process like?**
A: Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
**Q: Is there room to grow?**
A: The next logical step from this position is a senior or lead-track role within the same function.