Job Description
## Computer Vision Architect
**Department:** Computer Vision | **Industry:** Artificial Intelligence (AI)
**Location:** Chennai | **Job Type:** Full-time | **CTC:** INR 14.3-63.9 LPA
### Role Overview
The organisation is seeking a qualified Computer Vision Architect to support ongoing initiatives in Computer Vision. The role is positioned at the senior level and reports into the broader Computer Vision charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to computer vision.
- Apply working knowledge of Cloud Platforms (AWS/GCP/Azure) and Statistical Modelling 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.
- 14 years of relevant experience (senior level).
- Working proficiency in: Cloud Platforms (AWS/GCP/Azure), Statistical Modelling, Python, Data Preprocessing, Computer Vision, Natural Language Processing.
### Additional Notes
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. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. 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. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. 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. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. References may be requested closer to the offer stage rather than at the start of the process. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. 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. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Interested candidates should be prepared to walk through relevant past work during the interview process. The package is structured with a fixed component, performance bonus, and standard health coverage. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. 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. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
**Department:** Computer Vision | **Industry:** Artificial Intelligence (AI)
**Location:** Chennai | **Job Type:** Full-time | **CTC:** INR 14.3-63.9 LPA
### Role Overview
The organisation is seeking a qualified Computer Vision Architect to support ongoing initiatives in Computer Vision. The role is positioned at the senior level and reports into the broader Computer Vision charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to computer vision.
- Apply working knowledge of Cloud Platforms (AWS/GCP/Azure) and Statistical Modelling 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.
- 14 years of relevant experience (senior level).
- Working proficiency in: Cloud Platforms (AWS/GCP/Azure), Statistical Modelling, Python, Data Preprocessing, Computer Vision, Natural Language Processing.
### Additional Notes
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. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. 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. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. 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. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. References may be requested closer to the offer stage rather than at the start of the process. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. 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. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Interested candidates should be prepared to walk through relevant past work during the interview process. The package is structured with a fixed component, performance bonus, and standard health coverage. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. 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. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.