Job Description
**Q: What qualification is expected?**
A: M.Tech (Machine Learning) or an equivalent, relevant qualification.
**Q: What skills matter most?**
A: Compliance, TensorFlow/PyTorch, MLOps, Machine Learning Algorithms, AI Policy.
**Q: What is this role about?**
A: We're hiring a AI Risk and Compliance Engineer to work within AI Policy & Compliance, part of the Machine Learning function.
**Q: What experience is required?**
A: Around 7 years, consistent with a mid level profile.
**Q: What does compensation look like?**
A: INR 6.1-38.8 LPA, depending on experience and interview performance.
**Q: Where is this based?**
A: Lucknow, on a full-time basis.
**Q: Is there room to grow?**
A: There is a defined internal mobility path for people who want to specialise deeper or move into people management.
**Q: What's the interview process like?**
A: References may be requested closer to the offer stage rather than at the start of the process.
**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 does a typical day look like?**
A: Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving.
A: M.Tech (Machine Learning) or an equivalent, relevant qualification.
**Q: What skills matter most?**
A: Compliance, TensorFlow/PyTorch, MLOps, Machine Learning Algorithms, AI Policy.
**Q: What is this role about?**
A: We're hiring a AI Risk and Compliance Engineer to work within AI Policy & Compliance, part of the Machine Learning function.
**Q: What experience is required?**
A: Around 7 years, consistent with a mid level profile.
**Q: What does compensation look like?**
A: INR 6.1-38.8 LPA, depending on experience and interview performance.
**Q: Where is this based?**
A: Lucknow, on a full-time basis.
**Q: Is there room to grow?**
A: There is a defined internal mobility path for people who want to specialise deeper or move into people management.
**Q: What's the interview process like?**
A: References may be requested closer to the offer stage rather than at the start of the process.
**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 does a typical day look like?**
A: Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving.