Job Description
Position: Principal Quantum Machine Learning Coordinator
Function: Quantum Machine Learning
Industry: Quantum Computing & Technology
Grade: mid level
Location: Gurugram
Employment Type: Full-time
Compensation: INR 11.1-34.8 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with quantum machine learning, in accordance with the standards and processes laid down by Quantum Computing & Technology.
Minimum Qualification: M.Sc/M.Tech (Quantum Computing)
Minimum Experience: 7 years
Core Competencies Required: Academic Literature Review, Quantum Circuit Design, Quantum Machine Learning, Quantum Algorithms, Machine Learning Basics, Python Programming
Further Information:
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The organisation has historically promoted from within for a majority of its senior and lead openings. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Relocation assistance may be extended for candidates moving from a different city, subject to approval. The package is structured with a fixed component, performance bonus, and standard health coverage. Learning and certification support is available for tools and frameworks directly relevant to the role. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
Function: Quantum Machine Learning
Industry: Quantum Computing & Technology
Grade: mid level
Location: Gurugram
Employment Type: Full-time
Compensation: INR 11.1-34.8 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with quantum machine learning, in accordance with the standards and processes laid down by Quantum Computing & Technology.
Minimum Qualification: M.Sc/M.Tech (Quantum Computing)
Minimum Experience: 7 years
Core Competencies Required: Academic Literature Review, Quantum Circuit Design, Quantum Machine Learning, Quantum Algorithms, Machine Learning Basics, Python Programming
Further Information:
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The organisation has historically promoted from within for a majority of its senior and lead openings. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Relocation assistance may be extended for candidates moving from a different city, subject to approval. The package is structured with a fixed component, performance bonus, and standard health coverage. Learning and certification support is available for tools and frameworks directly relevant to the role. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.