Job Description
## Senior AI Software Engineer
**Department:** AI Research & Development | **Industry:** Artificial Intelligence (AI)
**Location:** Mumbai | **Job Type:** Full-time | **CTC:** INR 36.5-58.7 LPA
### Role Overview
The organisation is seeking a qualified Senior AI Software Engineer to support ongoing initiatives in AI Research & Development. The role is positioned at the senior level and reports into the broader AI Research & Development charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to ai research & development.
- Apply working knowledge of Computer Vision and TensorFlow/PyTorch to daily execution.
- Coordinate with cross-functional stakeholders within Artificial Intelligence (AI).
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- M.Tech (AI/ML) or equivalent qualification.
- 12 years of relevant experience (senior level).
- Working proficiency in: Computer Vision, TensorFlow/PyTorch, Model Deployment (MLOps), Machine Learning, Statistical Modelling, AI Research, Neural Network Architectures, Development, Cloud Platforms (AWS/GCP/Azure).
### Additional Notes
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Learning and certification support is available for tools and frameworks directly relevant to the role. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Interested candidates should be prepared to walk through relevant past work during the interview process. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. There is a defined internal mobility path for people who want to specialise deeper or move into people management. The next logical step from this position is a senior or lead-track role within the same function. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The package is structured with a fixed component, performance bonus, and standard health coverage. Internal job postings are open to employees who've completed a minimum tenure in their current role. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. References may be requested closer to the offer stage rather than at the start of the 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. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Relocation assistance may be extended for candidates moving from a different city, subject to approval. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. High performers in this role typically move into a broader ownership scope within 18-24 months. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The organisation has historically promoted from within for a majority of its senior and lead openings. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
**Department:** AI Research & Development | **Industry:** Artificial Intelligence (AI)
**Location:** Mumbai | **Job Type:** Full-time | **CTC:** INR 36.5-58.7 LPA
### Role Overview
The organisation is seeking a qualified Senior AI Software Engineer to support ongoing initiatives in AI Research & Development. The role is positioned at the senior level and reports into the broader AI Research & Development charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to ai research & development.
- Apply working knowledge of Computer Vision and TensorFlow/PyTorch to daily execution.
- Coordinate with cross-functional stakeholders within Artificial Intelligence (AI).
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- M.Tech (AI/ML) or equivalent qualification.
- 12 years of relevant experience (senior level).
- Working proficiency in: Computer Vision, TensorFlow/PyTorch, Model Deployment (MLOps), Machine Learning, Statistical Modelling, AI Research, Neural Network Architectures, Development, Cloud Platforms (AWS/GCP/Azure).
### Additional Notes
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Learning and certification support is available for tools and frameworks directly relevant to the role. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Interested candidates should be prepared to walk through relevant past work during the interview process. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. There is a defined internal mobility path for people who want to specialise deeper or move into people management. The next logical step from this position is a senior or lead-track role within the same function. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The package is structured with a fixed component, performance bonus, and standard health coverage. Internal job postings are open to employees who've completed a minimum tenure in their current role. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. References may be requested closer to the offer stage rather than at the start of the 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. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Relocation assistance may be extended for candidates moving from a different city, subject to approval. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. High performers in this role typically move into a broader ownership scope within 18-24 months. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The organisation has historically promoted from within for a majority of its senior and lead openings. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.