Job Description
We are looking to onboard an AI DevOps Support Engineer to strengthen our AI Operations (AIOps) function within Artificial Intelligence (AI). This is a junior level opening based out of Hybrid - Bengaluru, offered on a contract basis.
The ideal candidate holds B.Tech (CS/AI) and brings roughly 0 years of hands-on exposure to ai operations (aiops). Day-to-day, the work draws heavily on Model Deployment (MLOps), AI Operations (AIOps), Natural Language Processing, Computer Vision, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 5.4-11.0 LPA, in line with market standards for junior level roles within artificial intelligence (ai).
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. High performers in this role typically move into a broader ownership scope within 18-24 months.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
Compensation includes standard statutory benefits along with performance-linked variable pay. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
We value consistency and follow-through more than flashy credentials - if that matches how you work, apply in.
The ideal candidate holds B.Tech (CS/AI) and brings roughly 0 years of hands-on exposure to ai operations (aiops). Day-to-day, the work draws heavily on Model Deployment (MLOps), AI Operations (AIOps), Natural Language Processing, Computer Vision, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 5.4-11.0 LPA, in line with market standards for junior level roles within artificial intelligence (ai).
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. High performers in this role typically move into a broader ownership scope within 18-24 months.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
Compensation includes standard statutory benefits along with performance-linked variable pay. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
We value consistency and follow-through more than flashy credentials - if that matches how you work, apply in.