Job Description
This position calls for an AI Operational Excellence Engineer who can take ownership of core responsibilities within our AI Operations (AIOps) team. This is a mid level opening based out of Pune, offered on a full-time (wfh) basis.
The ideal candidate holds M.Tech (AI/ML) and brings roughly 6 years of hands-on exposure to ai operations (aiops). Day-to-day, the work draws heavily on Natural Language Processing, Cloud Platforms (AWS/GCP/Azure), Statistical Modelling, Python, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 19.6-48.1 LPA, in line with market standards for mid level roles within artificial intelligence (ai).
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Learning and certification support is available for tools and frameworks directly relevant to the role. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
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.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
The next logical step from this position is a senior or lead-track role within the same function. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The organisation has historically promoted from within for a majority of its senior and lead openings.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
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 6 years of hands-on exposure to ai operations (aiops). Day-to-day, the work draws heavily on Natural Language Processing, Cloud Platforms (AWS/GCP/Azure), Statistical Modelling, Python, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 19.6-48.1 LPA, in line with market standards for mid level roles within artificial intelligence (ai).
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Learning and certification support is available for tools and frameworks directly relevant to the role. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
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.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
The next logical step from this position is a senior or lead-track role within the same function. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The organisation has historically promoted from within for a majority of its senior and lead openings.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
We value consistency and follow-through more than flashy credentials - if that matches how you work, apply in.