Job Description
**Q: What experience is required?**
A: Around 1 years, consistent with a junior level profile.
**Q: Where is this based?**
A: Delhi NCR, on a full-time basis.
**Q: What qualification is expected?**
A: B.Tech (CS/Physics) or an equivalent, relevant qualification.
**Q: What does compensation look like?**
A: INR 3.7-16.5 LPA, depending on experience and interview performance.
**Q: What is this role about?**
A: We're hiring a Quantum Machine Learning Operations Trainee to work within Quantum Machine Learning, part of the Quantum Computing & Technology function.
**Q: What skills matter most?**
A: Quantum Algorithms, Quantum Machine Learning, Statistical Analysis, Linear Algebra & Quantum Mechanics Fundamentals, Academic Literature Review, Quantum Circuit Design.
**Q: What's the interview process like?**
A: Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
**Q: What's the team like?**
A: The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
**Q: Is there room to grow?**
A: Internal job postings are open to employees who've completed a minimum tenure in their current role.
**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.
A: Around 1 years, consistent with a junior level profile.
**Q: Where is this based?**
A: Delhi NCR, on a full-time basis.
**Q: What qualification is expected?**
A: B.Tech (CS/Physics) or an equivalent, relevant qualification.
**Q: What does compensation look like?**
A: INR 3.7-16.5 LPA, depending on experience and interview performance.
**Q: What is this role about?**
A: We're hiring a Quantum Machine Learning Operations Trainee to work within Quantum Machine Learning, part of the Quantum Computing & Technology function.
**Q: What skills matter most?**
A: Quantum Algorithms, Quantum Machine Learning, Statistical Analysis, Linear Algebra & Quantum Mechanics Fundamentals, Academic Literature Review, Quantum Circuit Design.
**Q: What's the interview process like?**
A: Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
**Q: What's the team like?**
A: The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
**Q: Is there room to grow?**
A: Internal job postings are open to employees who've completed a minimum tenure in their current role.
**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.