Job Description
Computer Vision Data Annotation Engineer | Gurugram | INR 9.1-25.9 LPA
Computer Vision role, junior level, full-time.
Need: B.Tech (CS/AI), 2+ yrs.
Core skills: Computer Vision, Python, Statistical Modelling, Feature Engineering, Deep Learning.
If this fits your profile in computer vision, apply now.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. 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. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
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.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. References may be requested closer to the offer stage rather than at the start of the process.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
Learning and certification support is available for tools and frameworks directly relevant to the role. The organisation has historically promoted from within for a majority of its senior and lead openings.
Internal job postings are open to employees who've completed a minimum tenure in their current role. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
Computer Vision role, junior level, full-time.
Need: B.Tech (CS/AI), 2+ yrs.
Core skills: Computer Vision, Python, Statistical Modelling, Feature Engineering, Deep Learning.
If this fits your profile in computer vision, apply now.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. 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. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
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.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. References may be requested closer to the offer stage rather than at the start of the process.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
Learning and certification support is available for tools and frameworks directly relevant to the role. The organisation has historically promoted from within for a majority of its senior and lead openings.
Internal job postings are open to employees who've completed a minimum tenure in their current role. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.