Job Description
An opening exists for a Computer Vision Framework Engineer to join the Machine Learning vertical, focused on Computer Vision. This is a mid level opening based out of Lucknow, offered on a full-time basis.
The ideal candidate holds B.Tech (CS/AI) and brings roughly 5 years of hands-on exposure to computer vision. Day-to-day, the work draws heavily on Computer Vision, Deep Learning, Data Preprocessing, Cloud Platforms (AWS/GCP), and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 6.2-35.2 LPA, in line with market standards for mid level roles within machine learning.
Learning and certification support is available for tools and frameworks directly relevant to the role. Interested candidates should be prepared to walk through relevant past work during the interview process.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. 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. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. 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. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. High performers in this role typically move into a broader ownership scope within 18-24 months.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The package is structured with a fixed component, performance bonus, and standard health coverage.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
The organisation has historically promoted from within for a majority of its senior and lead openings. 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. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
References may be requested closer to the offer stage rather than at the start of the process. 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.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
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.
This is a good fit for someone who wants real ownership rather than a purely execution-only role.
The ideal candidate holds B.Tech (CS/AI) and brings roughly 5 years of hands-on exposure to computer vision. Day-to-day, the work draws heavily on Computer Vision, Deep Learning, Data Preprocessing, Cloud Platforms (AWS/GCP), and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 6.2-35.2 LPA, in line with market standards for mid level roles within machine learning.
Learning and certification support is available for tools and frameworks directly relevant to the role. Interested candidates should be prepared to walk through relevant past work during the interview process.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. 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. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. 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. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. High performers in this role typically move into a broader ownership scope within 18-24 months.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The package is structured with a fixed component, performance bonus, and standard health coverage.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
The organisation has historically promoted from within for a majority of its senior and lead openings. 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. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
References may be requested closer to the offer stage rather than at the start of the process. 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.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
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.
This is a good fit for someone who wants real ownership rather than a purely execution-only role.