Job Description
Looking for an AIOps Specialist who's genuinely interested in AI Operations (AIOps) and wants to make an impact from day one.
You'll be working out of Delhi NCR (contract), and honestly, the day-to-day is going to revolve around Data Preprocessing and Model Deployment (MLOps). We're not looking for someone who just ticks boxes - we want someone who actually cares about ai operations (aiops).
On paper, we'd expect M.Tech (AI/ML) and somewhere around 4 years of experience, but we're just as interested in how you think as in what's on your resume.
Pay-wise, we're offering INR 9.0-37.0 LPA - fair for the mid level band and open to discussion based on what you bring.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
High performers in this role typically move into a broader ownership scope within 18-24 months. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
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. Learning and certification support is available for tools and frameworks directly relevant to the role.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The organisation has historically promoted from within for a majority of its senior and lead openings.
You'll be working out of Delhi NCR (contract), and honestly, the day-to-day is going to revolve around Data Preprocessing and Model Deployment (MLOps). We're not looking for someone who just ticks boxes - we want someone who actually cares about ai operations (aiops).
On paper, we'd expect M.Tech (AI/ML) and somewhere around 4 years of experience, but we're just as interested in how you think as in what's on your resume.
Pay-wise, we're offering INR 9.0-37.0 LPA - fair for the mid level band and open to discussion based on what you bring.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
High performers in this role typically move into a broader ownership scope within 18-24 months. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
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. Learning and certification support is available for tools and frameworks directly relevant to the role.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The organisation has historically promoted from within for a majority of its senior and lead openings.