Job Description
## Object Detection Engineer – Junior
**Department:** Computer Vision | **Industry:** Artificial Intelligence (AI)
**Location:** Coimbatore | **Job Type:** Full-time (WFH) | **CTC:** INR 5.6-11.2 LPA
### Role Overview
This position calls for an Object Detection Engineer – Junior who can take ownership of core responsibilities within our Computer Vision team. The role is positioned at the junior 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 Computer Vision and Data Preprocessing 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
- B.Tech (CS/AI) or equivalent qualification.
- 0 years of relevant experience (junior level).
- Working proficiency in: Computer Vision, Data Preprocessing, Python, Statistical Modelling.
### Additional Notes
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Learning and certification support is available for tools and frameworks directly relevant to the role. 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 package is structured with a fixed component, performance bonus, and standard health coverage. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Most days include at least one review checkpoint where progress is discussed against the plan for the week. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The organisation has historically promoted from within for a majority of its senior and lead openings. 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. High performers in this role typically move into a broader ownership scope within 18-24 months. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
**Department:** Computer Vision | **Industry:** Artificial Intelligence (AI)
**Location:** Coimbatore | **Job Type:** Full-time (WFH) | **CTC:** INR 5.6-11.2 LPA
### Role Overview
This position calls for an Object Detection Engineer – Junior who can take ownership of core responsibilities within our Computer Vision team. The role is positioned at the junior 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 Computer Vision and Data Preprocessing 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
- B.Tech (CS/AI) or equivalent qualification.
- 0 years of relevant experience (junior level).
- Working proficiency in: Computer Vision, Data Preprocessing, Python, Statistical Modelling.
### Additional Notes
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Learning and certification support is available for tools and frameworks directly relevant to the role. 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 package is structured with a fixed component, performance bonus, and standard health coverage. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Most days include at least one review checkpoint where progress is discussed against the plan for the week. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The organisation has historically promoted from within for a majority of its senior and lead openings. 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. High performers in this role typically move into a broader ownership scope within 18-24 months. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.