Job Description
Position: AI-Driven BI Engineer – Entry Level
Function: AI for Business Intelligence
Industry: Artificial Intelligence (AI)
Grade: junior level
Location: Coimbatore
Employment Type: Full-time
Compensation: INR 12.4-29.0 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with ai for business intelligence, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: B.Tech (CS/AI)
Minimum Experience: 0 years
Core Competencies Required: Deep Learning, Model Deployment (MLOps), Python, AI for Business Intelligence, Machine Learning, TensorFlow/PyTorch
Further Information:
The organisation has historically promoted from within for a majority of its senior and lead openings. 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. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The package is structured with a fixed component, performance bonus, and standard health coverage. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Interested candidates should be prepared to walk through relevant past work during the interview process. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Internal job postings are open to employees who've completed a minimum tenure in their current role. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
Function: AI for Business Intelligence
Industry: Artificial Intelligence (AI)
Grade: junior level
Location: Coimbatore
Employment Type: Full-time
Compensation: INR 12.4-29.0 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with ai for business intelligence, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: B.Tech (CS/AI)
Minimum Experience: 0 years
Core Competencies Required: Deep Learning, Model Deployment (MLOps), Python, AI for Business Intelligence, Machine Learning, TensorFlow/PyTorch
Further Information:
The organisation has historically promoted from within for a majority of its senior and lead openings. 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. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The package is structured with a fixed component, performance bonus, and standard health coverage. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Interested candidates should be prepared to walk through relevant past work during the interview process. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Internal job postings are open to employees who've completed a minimum tenure in their current role. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.