Job Description
## Computer Vision & AI Intern
**Department:** Deep Learning | **Industry:** Artificial Intelligence (AI)
**Location:** Noida | **Job Type:** Full-time | **CTC:** INR 3.5-18.2 LPA
### Role Overview
The organisation is seeking a qualified Computer Vision & AI Intern to support ongoing initiatives in Deep Learning. The role is positioned at the junior level and reports into the broader Deep Learning charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to deep learning.
- Apply working knowledge of Deep Learning and Python to daily execution.
- Coordinate with cross-functional stakeholders within Artificial Intelligence (AI).
- 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.
- 1 years of relevant experience (junior level).
- Working proficiency in: Deep Learning, Python, Computer Vision, Model Deployment (MLOps), Neural Network Architectures.
### Additional Notes
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. The next logical step from this position is a senior or lead-track role within the same function. The package is structured with a fixed component, performance bonus, and standard health coverage. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Relocation assistance may be extended for candidates moving from a different city, subject to approval. References may be requested closer to the offer stage rather than at the start of the process. Compensation includes standard statutory benefits along with performance-linked variable pay. Learning and certification support is available for tools and frameworks directly relevant to the role. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
**Department:** Deep Learning | **Industry:** Artificial Intelligence (AI)
**Location:** Noida | **Job Type:** Full-time | **CTC:** INR 3.5-18.2 LPA
### Role Overview
The organisation is seeking a qualified Computer Vision & AI Intern to support ongoing initiatives in Deep Learning. The role is positioned at the junior level and reports into the broader Deep Learning charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to deep learning.
- Apply working knowledge of Deep Learning and Python to daily execution.
- Coordinate with cross-functional stakeholders within Artificial Intelligence (AI).
- 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.
- 1 years of relevant experience (junior level).
- Working proficiency in: Deep Learning, Python, Computer Vision, Model Deployment (MLOps), Neural Network Architectures.
### Additional Notes
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. The next logical step from this position is a senior or lead-track role within the same function. The package is structured with a fixed component, performance bonus, and standard health coverage. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Relocation assistance may be extended for candidates moving from a different city, subject to approval. References may be requested closer to the offer stage rather than at the start of the process. Compensation includes standard statutory benefits along with performance-linked variable pay. Learning and certification support is available for tools and frameworks directly relevant to the role. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.