Job Description
Position: Image & Video Processing Engineer
Function: Computer Vision
Industry: Artificial Intelligence (AI)
Grade: mid level
Location: Remote (Pan India)
Employment Type: Full-time
Compensation: INR 8.1-23.2 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with computer vision, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: B.Tech (CS/AI)
Minimum Experience: 6 years
Core Competencies Required: Model Deployment (MLOps), Data Preprocessing, Natural Language Processing, Computer Vision, TensorFlow/PyTorch, Python, Deep Learning, Machine Learning
Further Information:
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. 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. The organisation has historically promoted from within for a majority of its senior and lead openings. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Internal job postings are open to employees who've completed a minimum tenure in their current role. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The package is structured with a fixed component, performance bonus, and standard health coverage. There is a defined internal mobility path for people who want to specialise deeper or move into people management. 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. Compensation includes standard statutory benefits along with performance-linked variable pay. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. The next logical step from this position is a senior or lead-track role within the same function.
Function: Computer Vision
Industry: Artificial Intelligence (AI)
Grade: mid level
Location: Remote (Pan India)
Employment Type: Full-time
Compensation: INR 8.1-23.2 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with computer vision, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: B.Tech (CS/AI)
Minimum Experience: 6 years
Core Competencies Required: Model Deployment (MLOps), Data Preprocessing, Natural Language Processing, Computer Vision, TensorFlow/PyTorch, Python, Deep Learning, Machine Learning
Further Information:
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. 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. The organisation has historically promoted from within for a majority of its senior and lead openings. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Internal job postings are open to employees who've completed a minimum tenure in their current role. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The package is structured with a fixed component, performance bonus, and standard health coverage. There is a defined internal mobility path for people who want to specialise deeper or move into people management. 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. Compensation includes standard statutory benefits along with performance-linked variable pay. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. The next logical step from this position is a senior or lead-track role within the same function.