Job Description
## Business Intelligence AI Consultant
**Department:** AI for Business Intelligence | **Industry:** Artificial Intelligence (AI)
**Location:** Chandigarh | **Job Type:** Full-time | **CTC:** INR 12.2-41.2 LPA
### Role Overview
The organisation is seeking a qualified Business Intelligence AI Consultant to support ongoing initiatives in AI for Business Intelligence. The role is positioned at the mid 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 Machine Learning and Natural Language Processing 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
- M.Tech (AI/ML) or equivalent qualification.
- 6 years of relevant experience (mid level).
- Working proficiency in: Machine Learning, Natural Language Processing, Neural Network Architectures, Cloud Platforms (AWS/GCP/Azure), Statistical Modelling, TensorFlow/PyTorch, Python, AI for Business Intelligence.
### Additional Notes
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Interested candidates should be prepared to walk through relevant past work during the interview process. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. References may be requested closer to the offer stage rather than at the start of the process. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Learning and certification support is available for tools and frameworks directly relevant to the role. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The package is structured with a fixed component, performance bonus, and standard health coverage.
**Department:** AI for Business Intelligence | **Industry:** Artificial Intelligence (AI)
**Location:** Chandigarh | **Job Type:** Full-time | **CTC:** INR 12.2-41.2 LPA
### Role Overview
The organisation is seeking a qualified Business Intelligence AI Consultant to support ongoing initiatives in AI for Business Intelligence. The role is positioned at the mid 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 Machine Learning and Natural Language Processing 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
- M.Tech (AI/ML) or equivalent qualification.
- 6 years of relevant experience (mid level).
- Working proficiency in: Machine Learning, Natural Language Processing, Neural Network Architectures, Cloud Platforms (AWS/GCP/Azure), Statistical Modelling, TensorFlow/PyTorch, Python, AI for Business Intelligence.
### Additional Notes
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Interested candidates should be prepared to walk through relevant past work during the interview process. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. References may be requested closer to the offer stage rather than at the start of the process. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Learning and certification support is available for tools and frameworks directly relevant to the role. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The package is structured with a fixed component, performance bonus, and standard health coverage.