Job Description
**Junior AIOps Engineer** | Nagpur | Full-time (WFH) | INR 12.2-20.9 LPA
**About the role:**
- Position within AI Operations (AIOps), under the Artificial Intelligence (AI) vertical
- Level: junior level
- Reports to the functional head for AI Operations (AIOps)
**What you'll do:**
- Handle core ai operations (aiops) activities on a day-to-day basis
- Use Python regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- Python
- Cloud Platforms (AWS/GCP/Azure)
- AI Operations (AIOps)
- Neural Network Architectures
- Model Deployment (MLOps)
- Statistical Modelling
- B.Tech (CS/AI)
- 1+ years of relevant experience
**Good to know:**
- The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
- The organisation has historically promoted from within for a majority of its senior and lead openings. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
- Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
- Most days include at least one review checkpoint where progress is discussed against the plan for the week. High performers in this role typically move into a broader ownership scope within 18-24 months.
- A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
- The role alternates between independent deep work and short coordination huddles with stakeholders across functions. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
**About the role:**
- Position within AI Operations (AIOps), under the Artificial Intelligence (AI) vertical
- Level: junior level
- Reports to the functional head for AI Operations (AIOps)
**What you'll do:**
- Handle core ai operations (aiops) activities on a day-to-day basis
- Use Python regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- Python
- Cloud Platforms (AWS/GCP/Azure)
- AI Operations (AIOps)
- Neural Network Architectures
- Model Deployment (MLOps)
- Statistical Modelling
- B.Tech (CS/AI)
- 1+ years of relevant experience
**Good to know:**
- The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
- The organisation has historically promoted from within for a majority of its senior and lead openings. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
- Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
- Most days include at least one review checkpoint where progress is discussed against the plan for the week. High performers in this role typically move into a broader ownership scope within 18-24 months.
- A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
- The role alternates between independent deep work and short coordination huddles with stakeholders across functions. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.