Job Description
Position: AIOps Solutions Engineer
Function: AI Operations (AIOps)
Industry: Artificial Intelligence (AI)
Grade: junior level
Location: Noida
Employment Type: Full-time (WFH)
Compensation: INR 7.5-21.1 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with ai operations (aiops), in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: B.Tech (CS/AI)
Minimum Experience: 2 years
Core Competencies Required: AI Operations (AIOps), Data Preprocessing, Python, Computer Vision, Cloud Platforms (AWS/GCP/Azure), Statistical Modelling
Further Information:
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. There is a defined internal mobility path for people who want to specialise deeper or move into people management. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. References may be requested closer to the offer stage rather than at the start of the process. 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. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Internal job postings are open to employees who've completed a minimum tenure in their current role. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Compensation includes standard statutory benefits along with performance-linked variable pay. 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 places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. High performers in this role typically move into a broader ownership scope within 18-24 months.
Function: AI Operations (AIOps)
Industry: Artificial Intelligence (AI)
Grade: junior level
Location: Noida
Employment Type: Full-time (WFH)
Compensation: INR 7.5-21.1 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with ai operations (aiops), in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: B.Tech (CS/AI)
Minimum Experience: 2 years
Core Competencies Required: AI Operations (AIOps), Data Preprocessing, Python, Computer Vision, Cloud Platforms (AWS/GCP/Azure), Statistical Modelling
Further Information:
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. There is a defined internal mobility path for people who want to specialise deeper or move into people management. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. References may be requested closer to the offer stage rather than at the start of the process. 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. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Internal job postings are open to employees who've completed a minimum tenure in their current role. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Compensation includes standard statutory benefits along with performance-linked variable pay. 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 places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. High performers in this role typically move into a broader ownership scope within 18-24 months.