Job Description
**AI Alerting & Monitoring Engineer** | Jaipur | Full-time | INR 2.8-17.3 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 AI Operations (AIOps) 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:**
- AI Operations (AIOps)
- TensorFlow/PyTorch
- Python
- Data Preprocessing
- B.Tech (CS/AI)
- 2+ years of relevant experience
**Good to know:**
- 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. The next logical step from this position is a senior or lead-track role within the same function.
- The role alternates between independent deep work and short coordination huddles with stakeholders across functions. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
- The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
- 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. 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. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving.
**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 AI Operations (AIOps) 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:**
- AI Operations (AIOps)
- TensorFlow/PyTorch
- Python
- Data Preprocessing
- B.Tech (CS/AI)
- 2+ years of relevant experience
**Good to know:**
- 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. The next logical step from this position is a senior or lead-track role within the same function.
- The role alternates between independent deep work and short coordination huddles with stakeholders across functions. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
- The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
- 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. 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. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving.