Job Description
## Senior Quantum Machine Learning Analyst
**Department:** Quantum Machine Learning | **Industry:** Quantum Computing & Technology
**Location:** Jaipur | **Job Type:** Full-time | **CTC:** INR 22.8-34.2 LPA
### Role Overview
This position calls for a Senior Quantum Machine Learning Analyst who can take ownership of core responsibilities within our Quantum Machine Learning team. The role is positioned at the mid level and reports into the broader Quantum Machine Learning charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to quantum machine learning.
- Apply working knowledge of Qiskit/Cirq Programming and Cloud Quantum Platforms (IBM Q/Azure Quantum) to daily execution.
- Coordinate with cross-functional stakeholders within Quantum Computing & Technology.
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- Ph.D (Quantum Physics/Computing) or equivalent qualification.
- 7 years of relevant experience (mid level).
- Working proficiency in: Qiskit/Cirq Programming, Cloud Quantum Platforms (IBM Q/Azure Quantum), Academic Literature Review, Quantum Algorithms, Python Programming, Quantum Circuit Design, Quantum Machine Learning, Linear Algebra & Quantum Mechanics Fundamentals.
### Additional Notes
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Interested candidates should be prepared to walk through relevant past work during the interview process. 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. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. High performers in this role typically move into a broader ownership scope within 18-24 months. The organisation has historically promoted from within for a majority of its senior and lead openings. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. The next logical step from this position is a senior or lead-track role within the same function. Learning and certification support is available for tools and frameworks directly relevant to the role. Internal job postings are open to employees who've completed a minimum tenure in their current role. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. References may be requested closer to the offer stage rather than at the start of the process. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Compensation includes standard statutory benefits along with performance-linked variable pay. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
**Department:** Quantum Machine Learning | **Industry:** Quantum Computing & Technology
**Location:** Jaipur | **Job Type:** Full-time | **CTC:** INR 22.8-34.2 LPA
### Role Overview
This position calls for a Senior Quantum Machine Learning Analyst who can take ownership of core responsibilities within our Quantum Machine Learning team. The role is positioned at the mid level and reports into the broader Quantum Machine Learning charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to quantum machine learning.
- Apply working knowledge of Qiskit/Cirq Programming and Cloud Quantum Platforms (IBM Q/Azure Quantum) to daily execution.
- Coordinate with cross-functional stakeholders within Quantum Computing & Technology.
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- Ph.D (Quantum Physics/Computing) or equivalent qualification.
- 7 years of relevant experience (mid level).
- Working proficiency in: Qiskit/Cirq Programming, Cloud Quantum Platforms (IBM Q/Azure Quantum), Academic Literature Review, Quantum Algorithms, Python Programming, Quantum Circuit Design, Quantum Machine Learning, Linear Algebra & Quantum Mechanics Fundamentals.
### Additional Notes
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Interested candidates should be prepared to walk through relevant past work during the interview process. 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. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. High performers in this role typically move into a broader ownership scope within 18-24 months. The organisation has historically promoted from within for a majority of its senior and lead openings. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. The next logical step from this position is a senior or lead-track role within the same function. Learning and certification support is available for tools and frameworks directly relevant to the role. Internal job postings are open to employees who've completed a minimum tenure in their current role. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. References may be requested closer to the offer stage rather than at the start of the process. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Compensation includes standard statutory benefits along with performance-linked variable pay. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.