Job Description
Machine Learning is looking for an experienced Computer Vision Application Engineer to take ownership of the Computer Vision charter at a mid level. This is a role for someone who has already operated at scale and is comfortable setting direction rather than simply following one.
The successful candidate will bring approximately 7 years of progressively senior experience, holding B.Tech (CS/AI), with a demonstrated track record across Cloud Platforms (AWS/GCP), Model Evaluation & Tuning, Computer Vision, Machine Learning Algorithms, Python. Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.
Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Pune on a contract arrangement. Compensation is benchmarked at INR 5.4-15.8 LPA, reflecting the seniority and scope of the position.
Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within computer vision.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Interested candidates should be prepared to walk through relevant past work during the interview process.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
The package is structured with a fixed component, performance bonus, and standard health coverage. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. There is a defined internal mobility path for people who want to specialise deeper or move into people management. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Compensation includes standard statutory benefits along with performance-linked variable pay.
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. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
Internal job postings are open to employees who've completed a minimum tenure in their current role. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
The successful candidate will bring approximately 7 years of progressively senior experience, holding B.Tech (CS/AI), with a demonstrated track record across Cloud Platforms (AWS/GCP), Model Evaluation & Tuning, Computer Vision, Machine Learning Algorithms, Python. Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.
Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Pune on a contract arrangement. Compensation is benchmarked at INR 5.4-15.8 LPA, reflecting the seniority and scope of the position.
Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within computer vision.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Interested candidates should be prepared to walk through relevant past work during the interview process.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
The package is structured with a fixed component, performance bonus, and standard health coverage. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. There is a defined internal mobility path for people who want to specialise deeper or move into people management. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Compensation includes standard statutory benefits along with performance-linked variable pay.
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. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
Internal job postings are open to employees who've completed a minimum tenure in their current role. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.