Job Description
## AI Implementation Engineer – BI
**Department:** AI for Business Intelligence | **Industry:** Artificial Intelligence (AI)
**Location:** Lucknow | **Job Type:** Full-time | **CTC:** INR 16.3-34.6 LPA
### Role Overview
This position calls for an AI Implementation Engineer – BI who can take ownership of core responsibilities within our AI for Business Intelligence team. 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 Python and Neural Network Architectures 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.Sc (Data Science) or equivalent qualification.
- 5 years of relevant experience (mid level).
- Working proficiency in: Python, Neural Network Architectures, Computer Vision, AI for Business Intelligence, TensorFlow/PyTorch.
### Additional Notes
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. References may be requested closer to the offer stage rather than at the start of the process. The package is structured with a fixed component, performance bonus, and standard health coverage. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. High performers in this role typically move into a broader ownership scope within 18-24 months. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. 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. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The next logical step from this position is a senior or lead-track role within the same function. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
**Department:** AI for Business Intelligence | **Industry:** Artificial Intelligence (AI)
**Location:** Lucknow | **Job Type:** Full-time | **CTC:** INR 16.3-34.6 LPA
### Role Overview
This position calls for an AI Implementation Engineer – BI who can take ownership of core responsibilities within our AI for Business Intelligence team. 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 Python and Neural Network Architectures 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.Sc (Data Science) or equivalent qualification.
- 5 years of relevant experience (mid level).
- Working proficiency in: Python, Neural Network Architectures, Computer Vision, AI for Business Intelligence, TensorFlow/PyTorch.
### Additional Notes
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. References may be requested closer to the offer stage rather than at the start of the process. The package is structured with a fixed component, performance bonus, and standard health coverage. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. High performers in this role typically move into a broader ownership scope within 18-24 months. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. 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. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The next logical step from this position is a senior or lead-track role within the same function. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.