Job Description
**Q: What qualification is expected?**
A: B.Sc or an equivalent, relevant qualification.
**Q: What is this role about?**
A: We're hiring a Research Assistant – Machine Learning to work within Artificial Intelligence & Machine Learning, part of the Academic Research function.
**Q: What does compensation look like?**
A: INR 3.8-9.9 LPA, depending on experience and interview performance.
**Q: What experience is required?**
A: Around 0 years, consistent with a junior level profile.
**Q: Where is this based?**
A: Remote (Pan India), on a internship basis.
**Q: What skills matter most?**
A: Quantitative Analysis, Peer Review, Qualitative Analysis, Artificial Intelligence, Citation Management (EndNote/Zotero), Machine Learning.
**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 team like?**
A: The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
**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: There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
A: B.Sc or an equivalent, relevant qualification.
**Q: What is this role about?**
A: We're hiring a Research Assistant – Machine Learning to work within Artificial Intelligence & Machine Learning, part of the Academic Research function.
**Q: What does compensation look like?**
A: INR 3.8-9.9 LPA, depending on experience and interview performance.
**Q: What experience is required?**
A: Around 0 years, consistent with a junior level profile.
**Q: Where is this based?**
A: Remote (Pan India), on a internship basis.
**Q: What skills matter most?**
A: Quantitative Analysis, Peer Review, Qualitative Analysis, Artificial Intelligence, Citation Management (EndNote/Zotero), Machine Learning.
**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 team like?**
A: The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
**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: There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.