Job Description
**Lead Computer Vision Engineer** | Coimbatore | Full-time | INR 29.8-87.0 LPA
**About the role:**
- Position within Computer Vision, under the Artificial Intelligence (AI) vertical
- Level: senior level
- Reports to the functional head for Computer Vision
**What you'll do:**
- Handle core computer vision activities on a day-to-day basis
- Use Python regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- Python
- TensorFlow/PyTorch
- Deep Learning
- Machine Learning
- Computer Vision
- Cloud Platforms (AWS/GCP/Azure)
- Data Preprocessing
- Ph.D (AI)
- 12+ years of relevant experience
**Good to know:**
- Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Internal job postings are open to employees who've completed a minimum tenure in their current role.
- Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The next logical step from this position is a senior or lead-track role within the same function. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
- Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Most days include at least one review checkpoint where progress is discussed against the plan for the week. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
- Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Learning and certification support is available for tools and frameworks directly relevant to the role.
- Compensation includes standard statutory benefits along with performance-linked variable pay. Interested candidates should be prepared to walk through relevant past work during the interview process.
- Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
- The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. 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. The package is structured with a fixed component, performance bonus, and standard health coverage. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
- New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
**About the role:**
- Position within Computer Vision, under the Artificial Intelligence (AI) vertical
- Level: senior level
- Reports to the functional head for Computer Vision
**What you'll do:**
- Handle core computer vision activities on a day-to-day basis
- Use Python regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- Python
- TensorFlow/PyTorch
- Deep Learning
- Machine Learning
- Computer Vision
- Cloud Platforms (AWS/GCP/Azure)
- Data Preprocessing
- Ph.D (AI)
- 12+ years of relevant experience
**Good to know:**
- Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Internal job postings are open to employees who've completed a minimum tenure in their current role.
- Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The next logical step from this position is a senior or lead-track role within the same function. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
- Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Most days include at least one review checkpoint where progress is discussed against the plan for the week. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
- Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Learning and certification support is available for tools and frameworks directly relevant to the role.
- Compensation includes standard statutory benefits along with performance-linked variable pay. Interested candidates should be prepared to walk through relevant past work during the interview process.
- Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
- The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. 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. The package is structured with a fixed component, performance bonus, and standard health coverage. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
- New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Relocation assistance may be extended for candidates moving from a different city, subject to approval.