Job Description
**Quantum Machine Learning Project Manager** | Indore | Hybrid | INR 28.4-63.2 LPA
**About the role:**
- Position within Quantum Machine Learning, under the Quantum Computing & Technology vertical
- Level: mid level
- Reports to the functional head for Quantum Machine Learning
**What you'll do:**
- Handle core quantum machine learning activities on a day-to-day basis
- Use Statistical Analysis regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- Statistical Analysis
- Academic Literature Review
- Qiskit/Cirq Programming
- Research Documentation
- Machine Learning Basics
- Quantum Algorithms
- Quantum Machine Learning
- Python Programming
- M.Sc/M.Tech (Quantum Computing)
- 4+ years of relevant experience
**Good to know:**
- There is a defined internal mobility path for people who want to specialise deeper or move into people management. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. References may be requested closer to the offer stage rather than at the start of the process.
- In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
- High performers in this role typically move into a broader ownership scope within 18-24 months. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The package is structured with a fixed component, performance bonus, and standard health coverage.
- Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
- There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Compensation includes standard statutory benefits along with performance-linked variable pay.
- The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Learning and certification support is available for tools and frameworks directly relevant to the role.
**About the role:**
- Position within Quantum Machine Learning, under the Quantum Computing & Technology vertical
- Level: mid level
- Reports to the functional head for Quantum Machine Learning
**What you'll do:**
- Handle core quantum machine learning activities on a day-to-day basis
- Use Statistical Analysis regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- Statistical Analysis
- Academic Literature Review
- Qiskit/Cirq Programming
- Research Documentation
- Machine Learning Basics
- Quantum Algorithms
- Quantum Machine Learning
- Python Programming
- M.Sc/M.Tech (Quantum Computing)
- 4+ years of relevant experience
**Good to know:**
- There is a defined internal mobility path for people who want to specialise deeper or move into people management. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. References may be requested closer to the offer stage rather than at the start of the process.
- In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
- High performers in this role typically move into a broader ownership scope within 18-24 months. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The package is structured with a fixed component, performance bonus, and standard health coverage.
- Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
- There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Compensation includes standard statutory benefits along with performance-linked variable pay.
- The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Learning and certification support is available for tools and frameworks directly relevant to the role.