Job Description
**Quantum Machine Learning Program Director** | Lucknow | Leadership - Full-time | INR 56.7-111.7 LPA
**About the role:**
- Position within Quantum Machine Learning, under the Quantum Computing & Technology vertical
- Level: senior 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 Research Documentation 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:**
- Research Documentation
- Qiskit/Cirq Programming
- Cloud Quantum Platforms (IBM Q/Azure Quantum)
- Quantum Circuit Design
- Statistical Analysis
- Quantum Algorithms
- Machine Learning Basics
- Linear Algebra & Quantum Mechanics Fundamentals
- Quantum Machine Learning
- Ph.D (Quantum Physics/Computing)
- 11+ years of relevant experience
**Good to know:**
- References may be requested closer to the offer stage rather than at the start of the process. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
- Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
- Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The next logical step from this position is a senior or lead-track role within the same function.
- No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
- The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
- Learning and certification support is available for tools and frameworks directly relevant to the role. The organisation has historically promoted from within for a majority of its senior and lead openings. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
- The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
- Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Internal job postings are open to employees who've completed a minimum tenure in their current role.
- Compensation includes standard statutory benefits along with performance-linked variable pay. 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 typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
- New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
- Interested candidates should be prepared to walk through relevant past work during the interview process. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
- The package is structured with a fixed component, performance bonus, and standard health coverage. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
- There is a defined internal mobility path for people who want to specialise deeper or move into people management. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
- Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. High performers in this role typically move into a broader ownership scope within 18-24 months.
- The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
- 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: senior 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 Research Documentation 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:**
- Research Documentation
- Qiskit/Cirq Programming
- Cloud Quantum Platforms (IBM Q/Azure Quantum)
- Quantum Circuit Design
- Statistical Analysis
- Quantum Algorithms
- Machine Learning Basics
- Linear Algebra & Quantum Mechanics Fundamentals
- Quantum Machine Learning
- Ph.D (Quantum Physics/Computing)
- 11+ years of relevant experience
**Good to know:**
- References may be requested closer to the offer stage rather than at the start of the process. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
- Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
- Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The next logical step from this position is a senior or lead-track role within the same function.
- No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
- The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
- Learning and certification support is available for tools and frameworks directly relevant to the role. The organisation has historically promoted from within for a majority of its senior and lead openings. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
- The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
- Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Internal job postings are open to employees who've completed a minimum tenure in their current role.
- Compensation includes standard statutory benefits along with performance-linked variable pay. 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 typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
- New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
- Interested candidates should be prepared to walk through relevant past work during the interview process. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
- The package is structured with a fixed component, performance bonus, and standard health coverage. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
- There is a defined internal mobility path for people who want to specialise deeper or move into people management. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
- Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. High performers in this role typically move into a broader ownership scope within 18-24 months.
- The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
- Learning and certification support is available for tools and frameworks directly relevant to the role.