Job Description
## BI & AI Associate
**Department:** AI for Business Intelligence | **Industry:** Artificial Intelligence (AI)
**Location:** Hybrid - Pune | **Job Type:** Internship | **CTC:** INR 2.2-11.1 LPA
### Role Overview
This position calls for a BI & AI Associate who can take ownership of core responsibilities within our AI for Business Intelligence team. The role is positioned at the junior level and reports into the broader AI for Business Intelligence charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to ai for business intelligence.
- Apply working knowledge of AI for Business Intelligence and Deep Learning 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: AI for Business Intelligence, Deep Learning, Python, Computer Vision.
### Additional Notes
Relocation assistance may be extended for candidates moving from a different city, subject to approval. 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. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The organisation has historically promoted from within for a majority of its senior and lead openings. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Internal job postings are open to employees who've completed a minimum tenure in their current role. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The package is structured with a fixed component, performance bonus, and standard health coverage. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
**Department:** AI for Business Intelligence | **Industry:** Artificial Intelligence (AI)
**Location:** Hybrid - Pune | **Job Type:** Internship | **CTC:** INR 2.2-11.1 LPA
### Role Overview
This position calls for a BI & AI Associate who can take ownership of core responsibilities within our AI for Business Intelligence team. The role is positioned at the junior level and reports into the broader AI for Business Intelligence charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to ai for business intelligence.
- Apply working knowledge of AI for Business Intelligence and Deep Learning 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: AI for Business Intelligence, Deep Learning, Python, Computer Vision.
### Additional Notes
Relocation assistance may be extended for candidates moving from a different city, subject to approval. 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. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The organisation has historically promoted from within for a majority of its senior and lead openings. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Internal job postings are open to employees who've completed a minimum tenure in their current role. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The package is structured with a fixed component, performance bonus, and standard health coverage. Most days include at least one review checkpoint where progress is discussed against the plan for the week.