Job Description
## AI Neural Network Trainee
**Department:** Deep Learning | **Industry:** Machine Learning
**Location:** Chandigarh | **Job Type:** Internship | **CTC:** INR 4.7-16.0 LPA
### Role Overview
The organisation is seeking a qualified AI Neural Network Trainee 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 MLOps 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.
- 0 years of relevant experience (junior level).
- Working proficiency in: Deep Learning, MLOps, Python, Computer Vision/NLP Basics.
### Additional Notes
Most days include at least one review checkpoint where progress is discussed against the plan for the week. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Interested candidates should be prepared to walk through relevant past work during the interview process. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
**Department:** Deep Learning | **Industry:** Machine Learning
**Location:** Chandigarh | **Job Type:** Internship | **CTC:** INR 4.7-16.0 LPA
### Role Overview
The organisation is seeking a qualified AI Neural Network Trainee 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 MLOps 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.
- 0 years of relevant experience (junior level).
- Working proficiency in: Deep Learning, MLOps, Python, Computer Vision/NLP Basics.
### Additional Notes
Most days include at least one review checkpoint where progress is discussed against the plan for the week. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Interested candidates should be prepared to walk through relevant past work during the interview process. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.