Job Description
AI Service Reliability Engineer | Bengaluru | INR 6.7-26.6 LPA
AI Operations (AIOps) role, mid level, contract.
Need: M.Tech (AI/ML), 7+ yrs.
Core skills: Python, TensorFlow/PyTorch, Cloud Platforms (AWS/GCP/Azure), Machine Learning, AI Operations (AIOps).
If this fits your profile in ai operations (aiops), apply now.
Internal job postings are open to employees who've completed a minimum tenure in their current role. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Most days include at least one review checkpoint where progress is discussed against the plan for the week. 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.
References may be requested closer to the offer stage rather than at the start of the process. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
The organisation has historically promoted from within for a majority of its senior and lead openings. High performers in this role typically move into a broader ownership scope within 18-24 months.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. 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. The next logical step from this position is a senior or lead-track role within the same function.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
AI Operations (AIOps) role, mid level, contract.
Need: M.Tech (AI/ML), 7+ yrs.
Core skills: Python, TensorFlow/PyTorch, Cloud Platforms (AWS/GCP/Azure), Machine Learning, AI Operations (AIOps).
If this fits your profile in ai operations (aiops), apply now.
Internal job postings are open to employees who've completed a minimum tenure in their current role. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Most days include at least one review checkpoint where progress is discussed against the plan for the week. 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.
References may be requested closer to the offer stage rather than at the start of the process. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
The organisation has historically promoted from within for a majority of its senior and lead openings. High performers in this role typically move into a broader ownership scope within 18-24 months.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. 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. The next logical step from this position is a senior or lead-track role within the same function.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.