Job Description
## Senior Machine Learning Consultant
**Department:** Quantum Machine Learning | **Industry:** Quantum Computing & Technology
**Location:** Kochi | **Job Type:** Hybrid | **CTC:** INR 8.9-61.3 LPA
### Role Overview
We are looking to onboard a Senior Machine Learning Consultant to strengthen our Quantum Machine Learning function within Quantum Computing & Technology. The role is positioned at the senior 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 Machine Learning Basics 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
- M.Sc/M.Tech (Quantum Computing) or equivalent qualification.
- 8 years of relevant experience (senior level).
- Working proficiency in: Machine Learning Basics, Cloud Quantum Platforms (IBM Q/Azure Quantum), Quantum Machine Learning, Quantum Algorithms, Statistical Analysis, Qiskit/Cirq Programming, Research Documentation.
### Additional Notes
There is a defined internal mobility path for people who want to specialise deeper or move into people management. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. 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. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. References may be requested closer to the offer stage rather than at the start of the process. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. 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. Compensation includes standard statutory benefits along with performance-linked variable pay. High performers in this role typically move into a broader ownership scope within 18-24 months. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. 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 next logical step from this position is a senior or lead-track role within the same function. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The package is structured with a fixed component, performance bonus, and standard health coverage. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The organisation has historically promoted from within for a majority of its senior and lead openings. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Interested candidates should be prepared to walk through relevant past work during the interview process. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. The organisation has historically promoted from within for a majority of its senior and lead openings. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
**Department:** Quantum Machine Learning | **Industry:** Quantum Computing & Technology
**Location:** Kochi | **Job Type:** Hybrid | **CTC:** INR 8.9-61.3 LPA
### Role Overview
We are looking to onboard a Senior Machine Learning Consultant to strengthen our Quantum Machine Learning function within Quantum Computing & Technology. The role is positioned at the senior 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 Machine Learning Basics 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
- M.Sc/M.Tech (Quantum Computing) or equivalent qualification.
- 8 years of relevant experience (senior level).
- Working proficiency in: Machine Learning Basics, Cloud Quantum Platforms (IBM Q/Azure Quantum), Quantum Machine Learning, Quantum Algorithms, Statistical Analysis, Qiskit/Cirq Programming, Research Documentation.
### Additional Notes
There is a defined internal mobility path for people who want to specialise deeper or move into people management. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. 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. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. References may be requested closer to the offer stage rather than at the start of the process. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. 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. Compensation includes standard statutory benefits along with performance-linked variable pay. High performers in this role typically move into a broader ownership scope within 18-24 months. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. 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 next logical step from this position is a senior or lead-track role within the same function. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The package is structured with a fixed component, performance bonus, and standard health coverage. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The organisation has historically promoted from within for a majority of its senior and lead openings. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Interested candidates should be prepared to walk through relevant past work during the interview process. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. The organisation has historically promoted from within for a majority of its senior and lead openings. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.