Job Description
**Q: What qualification is expected?**
A: M.Tech (AI/ML) or an equivalent, relevant qualification.
**Q: Where is this based?**
A: Hybrid - Bengaluru, on a hybrid basis.
**Q: What is this role about?**
A: We're hiring a AIOps Technical Lead to work within AI Operations (AIOps), part of the Artificial Intelligence (AI) function.
**Q: What experience is required?**
A: Around 7 years, consistent with a mid level profile.
**Q: What skills matter most?**
A: Machine Learning, Statistical Modelling, Neural Network Architectures, TensorFlow/PyTorch, AI Operations (AIOps), Python.
**Q: What does compensation look like?**
A: INR 27.3-39.2 LPA, depending on experience and interview performance.
**Q: What's the team like?**
A: Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
**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: Internal job postings are open to employees who've completed a minimum tenure in their current role.
A: M.Tech (AI/ML) or an equivalent, relevant qualification.
**Q: Where is this based?**
A: Hybrid - Bengaluru, on a hybrid basis.
**Q: What is this role about?**
A: We're hiring a AIOps Technical Lead to work within AI Operations (AIOps), part of the Artificial Intelligence (AI) function.
**Q: What experience is required?**
A: Around 7 years, consistent with a mid level profile.
**Q: What skills matter most?**
A: Machine Learning, Statistical Modelling, Neural Network Architectures, TensorFlow/PyTorch, AI Operations (AIOps), Python.
**Q: What does compensation look like?**
A: INR 27.3-39.2 LPA, depending on experience and interview performance.
**Q: What's the team like?**
A: Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
**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: Internal job postings are open to employees who've completed a minimum tenure in their current role.