Job Description
Join us as a Data Systems Support Engineer and help us push Data Engineering forward within Machine Learning.
You'll be working out of Noida (full-time), and honestly, the day-to-day is going to revolve around Data Engineering and Deep Learning. We're not looking for someone who just ticks boxes - we want someone who actually cares about data engineering.
On paper, we'd expect M.Tech (Machine Learning) and somewhere around 0 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 6.2-12.1 LPA - fair for the junior level band and open to discussion based on what you bring.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Internal job postings are open to employees who've completed a minimum tenure in their current role. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. 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.
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. 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. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
You'll be working out of Noida (full-time), and honestly, the day-to-day is going to revolve around Data Engineering and Deep Learning. We're not looking for someone who just ticks boxes - we want someone who actually cares about data engineering.
On paper, we'd expect M.Tech (Machine Learning) and somewhere around 0 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 6.2-12.1 LPA - fair for the junior level band and open to discussion based on what you bring.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Internal job postings are open to employees who've completed a minimum tenure in their current role. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. 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.
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. 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. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.