Job Description
Position: Senior AI Business Intelligence Engineer
Function: AI for Business Intelligence
Industry: Artificial Intelligence (AI)
Grade: senior level
Location: Hyderabad
Employment Type: Full-time
Compensation: INR 19.6-65.8 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: M.Tech (AI/ML)
Minimum Experience: 15 years
Core Competencies Required: Natural Language Processing, Cloud Platforms (AWS/GCP/Azure), Neural Network Architectures, Machine Learning, TensorFlow/PyTorch, Computer Vision, Python, AI for Business Intelligence
Further Information:
Compensation includes standard statutory benefits along with performance-linked variable pay. 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. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Interested candidates should be prepared to walk through relevant past work during the interview process. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. 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. 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. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Learning and certification support is available for tools and frameworks directly relevant to the role. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The package is structured with a fixed component, performance bonus, and standard health coverage. 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. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Most days include at least one review checkpoint where progress is discussed against the plan for the week. The next logical step from this position is a senior or lead-track role within the same function.
Function: AI for Business Intelligence
Industry: Artificial Intelligence (AI)
Grade: senior level
Location: Hyderabad
Employment Type: Full-time
Compensation: INR 19.6-65.8 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: M.Tech (AI/ML)
Minimum Experience: 15 years
Core Competencies Required: Natural Language Processing, Cloud Platforms (AWS/GCP/Azure), Neural Network Architectures, Machine Learning, TensorFlow/PyTorch, Computer Vision, Python, AI for Business Intelligence
Further Information:
Compensation includes standard statutory benefits along with performance-linked variable pay. 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. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Interested candidates should be prepared to walk through relevant past work during the interview process. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. 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. 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. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Learning and certification support is available for tools and frameworks directly relevant to the role. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The package is structured with a fixed component, performance bonus, and standard health coverage. 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. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Most days include at least one review checkpoint where progress is discussed against the plan for the week. The next logical step from this position is a senior or lead-track role within the same function.