Job Description
This position calls for an AIOps Integration Engineer who can take ownership of core responsibilities within our AI Operations (AIOps) team. This is a mid level opening based out of Mumbai, offered on a full-time basis.
The ideal candidate holds M.Tech (AI/ML) and brings roughly 7 years of hands-on exposure to ai operations (aiops). Day-to-day, the work draws heavily on Python, AI Operations (AIOps), Natural Language Processing, Deep Learning, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 26.3-52.6 LPA, in line with market standards for mid level roles within artificial intelligence (ai).
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Interested candidates should be prepared to walk through relevant past work during the interview process.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The package is structured with a fixed component, performance bonus, and standard health coverage.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The next logical step from this position is a senior or lead-track role within the same function.
The organisation has historically promoted from within for a majority of its senior and lead openings. Internal job postings are open to employees who've completed a minimum tenure in their current role.
We value consistency and follow-through more than flashy credentials - if that matches how you work, apply in.
The ideal candidate holds M.Tech (AI/ML) and brings roughly 7 years of hands-on exposure to ai operations (aiops). Day-to-day, the work draws heavily on Python, AI Operations (AIOps), Natural Language Processing, Deep Learning, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 26.3-52.6 LPA, in line with market standards for mid level roles within artificial intelligence (ai).
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Interested candidates should be prepared to walk through relevant past work during the interview process.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The package is structured with a fixed component, performance bonus, and standard health coverage.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The next logical step from this position is a senior or lead-track role within the same function.
The organisation has historically promoted from within for a majority of its senior and lead openings. Internal job postings are open to employees who've completed a minimum tenure in their current role.
We value consistency and follow-through more than flashy credentials - if that matches how you work, apply in.