Job Description
## Vision AI Developer (Junior)
**Department:** Computer Vision | **Industry:** Machine Learning
**Location:** Mumbai | **Job Type:** Full-time | **CTC:** INR 9.1-22.1 LPA
### Role Overview
This position calls for a Vision AI Developer (Junior) who can take ownership of core responsibilities within our Computer Vision team. The role is positioned at the junior level and reports into the broader Computer Vision charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to computer vision.
- Apply working knowledge of Computer Vision and TensorFlow/PyTorch to daily execution.
- Coordinate with cross-functional stakeholders within Machine Learning.
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- B.Tech (CS/AI) or equivalent qualification.
- 2 years of relevant experience (junior level).
- Working proficiency in: Computer Vision, TensorFlow/PyTorch, Data Preprocessing, Python.
### Additional Notes
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Interested candidates should be prepared to walk through relevant past work during the interview process. The organisation has historically promoted from within for a majority of its senior and lead openings. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
**Department:** Computer Vision | **Industry:** Machine Learning
**Location:** Mumbai | **Job Type:** Full-time | **CTC:** INR 9.1-22.1 LPA
### Role Overview
This position calls for a Vision AI Developer (Junior) who can take ownership of core responsibilities within our Computer Vision team. The role is positioned at the junior level and reports into the broader Computer Vision charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to computer vision.
- Apply working knowledge of Computer Vision and TensorFlow/PyTorch to daily execution.
- Coordinate with cross-functional stakeholders within Machine Learning.
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- B.Tech (CS/AI) or equivalent qualification.
- 2 years of relevant experience (junior level).
- Working proficiency in: Computer Vision, TensorFlow/PyTorch, Data Preprocessing, Python.
### Additional Notes
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Interested candidates should be prepared to walk through relevant past work during the interview process. The organisation has historically promoted from within for a majority of its senior and lead openings. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.