Job Description
An opening exists for an Object Detection & Recognition Engineer to join the Artificial Intelligence (AI) vertical, focused on Computer Vision. This is a mid level opening based out of Delhi NCR, offered on a full-time basis.
The ideal candidate holds M.Tech (AI/ML) and brings roughly 6 years of hands-on exposure to computer vision. Day-to-day, the work draws heavily on Data Preprocessing, Neural Network Architectures, Python, Computer Vision, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 19.6-32.2 LPA, in line with market standards for mid level roles within artificial intelligence (ai).
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The organisation has historically promoted from within for a majority of its senior and lead openings.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. 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. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. High performers in this role typically move into a broader ownership scope within 18-24 months.
This role offers a genuine opportunity to build depth in Computer Vision while working alongside an experienced team.
The ideal candidate holds M.Tech (AI/ML) and brings roughly 6 years of hands-on exposure to computer vision. Day-to-day, the work draws heavily on Data Preprocessing, Neural Network Architectures, Python, Computer Vision, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 19.6-32.2 LPA, in line with market standards for mid level roles within artificial intelligence (ai).
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The organisation has historically promoted from within for a majority of its senior and lead openings.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. 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. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. High performers in this role typically move into a broader ownership scope within 18-24 months.
This role offers a genuine opportunity to build depth in Computer Vision while working alongside an experienced team.