Computer Vision

Image Processing Engineer

  • Jaipur
  • ₹1,190,000 - ₹4,090,000
  • Part Time Job

Job Description

Image Processing Engineer | Jaipur | INR 11.9-40.9 LPA
Computer Vision role, mid level, full-time.
Need: B.Tech (CS/AI), 3+ yrs.
Core skills: Python, Deep Learning, Computer Vision, Computer Vision/NLP Basics, Model Evaluation & Tuning.
If this fits your profile in computer vision, apply now.
Internal job postings are open to employees who've completed a minimum tenure in their current role. Compensation includes standard statutory benefits along with performance-linked variable pay.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
The next logical step from this position is a senior or lead-track role within the same function. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
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. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Learning and certification support is available for tools and frameworks directly relevant to the role.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.

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