Job Description
AI Image Processing Specialist | Chennai | INR 18.4-45.8 LPA
Computer Vision role, mid level, full-time.
Need: M.Tech (AI/ML), 6+ yrs.
Core skills: Deep Learning, Natural Language Processing, Machine Learning, Python, Computer Vision.
If this fits your profile in computer vision, apply now.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
Compensation includes standard statutory benefits along with performance-linked variable pay. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Interested candidates should be prepared to walk through relevant past work during the interview process.
The package is structured with a fixed component, performance bonus, and standard health coverage. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Internal job postings are open to employees who've completed a minimum tenure in their current role. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
The organisation has historically promoted from within for a majority of its senior and lead openings. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. 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.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. High performers in this role typically move into a broader ownership scope within 18-24 months.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. References may be requested closer to the offer stage rather than at the start of the process. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Learning and certification support is available for tools and frameworks directly relevant to the role.
Computer Vision role, mid level, full-time.
Need: M.Tech (AI/ML), 6+ yrs.
Core skills: Deep Learning, Natural Language Processing, Machine Learning, Python, Computer Vision.
If this fits your profile in computer vision, apply now.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
Compensation includes standard statutory benefits along with performance-linked variable pay. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Interested candidates should be prepared to walk through relevant past work during the interview process.
The package is structured with a fixed component, performance bonus, and standard health coverage. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Internal job postings are open to employees who've completed a minimum tenure in their current role. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
The organisation has historically promoted from within for a majority of its senior and lead openings. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. 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.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. High performers in this role typically move into a broader ownership scope within 18-24 months.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. References may be requested closer to the offer stage rather than at the start of the process. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Learning and certification support is available for tools and frameworks directly relevant to the role.