Job Description
## Neural Network Engineer (Junior)
**Department:** Deep Learning | **Industry:** Machine Learning
**Location:** Hybrid - Pune | **Job Type:** Internship | **CTC:** INR 4.1-19.2 LPA
### Role Overview
This position calls for a Neural Network Engineer (Junior) who can take ownership of core responsibilities within our Deep Learning team. 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 Statistical Modelling 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: Statistical Modelling, TensorFlow/PyTorch, Deep Learning, Machine Learning Algorithms, Cloud Platforms (AWS/GCP), Python.
### Additional Notes
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
**Department:** Deep Learning | **Industry:** Machine Learning
**Location:** Hybrid - Pune | **Job Type:** Internship | **CTC:** INR 4.1-19.2 LPA
### Role Overview
This position calls for a Neural Network Engineer (Junior) who can take ownership of core responsibilities within our Deep Learning team. 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 Statistical Modelling 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: Statistical Modelling, TensorFlow/PyTorch, Deep Learning, Machine Learning Algorithms, Cloud Platforms (AWS/GCP), Python.
### Additional Notes
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.