Job Description
Join us as a Deep Learning Pipeline Engineer and help us push Deep Learning forward within Machine Learning.
You'll be working out of Coimbatore (contract), and honestly, the day-to-day is going to revolve around Python and Data Preprocessing. We're not looking for someone who just ticks boxes - we want someone who actually cares about deep learning.
On paper, we'd expect M.Sc (Data Science) 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 25.2-42.3 LPA - fair for the mid level band and open to discussion based on what you bring.
Compensation includes standard statutory benefits along with performance-linked variable pay. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
Learning and certification support is available for tools and frameworks directly relevant to the role. Internal job postings are open to employees who've completed a minimum tenure in their current role.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The package is structured with a fixed component, performance bonus, and standard health coverage. The next logical step from this position is a senior or lead-track role within the same function.
Interested candidates should be prepared to walk through relevant past work during the interview process. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
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. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
The organisation has historically promoted from within for a majority of its senior and lead openings. References may be requested closer to the offer stage rather than at the start of the process.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. 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 team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
You'll be working out of Coimbatore (contract), and honestly, the day-to-day is going to revolve around Python and Data Preprocessing. We're not looking for someone who just ticks boxes - we want someone who actually cares about deep learning.
On paper, we'd expect M.Sc (Data Science) 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 25.2-42.3 LPA - fair for the mid level band and open to discussion based on what you bring.
Compensation includes standard statutory benefits along with performance-linked variable pay. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
Learning and certification support is available for tools and frameworks directly relevant to the role. Internal job postings are open to employees who've completed a minimum tenure in their current role.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The package is structured with a fixed component, performance bonus, and standard health coverage. The next logical step from this position is a senior or lead-track role within the same function.
Interested candidates should be prepared to walk through relevant past work during the interview process. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
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. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
The organisation has historically promoted from within for a majority of its senior and lead openings. References may be requested closer to the offer stage rather than at the start of the process.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. 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 team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.