Job Description
Looking for a Head of Machine Learning Engineering who's genuinely interested in Machine Learning Engineering and wants to make an impact from day one.
You'll be working out of Pune (full-time), and honestly, the day-to-day is going to revolve around REST API Development and Machine Learning Engineering. We're not looking for someone who just ticks boxes - we want someone who actually cares about machine learning engineering.
On paper, we'd expect M.Tech (Software Engineering) and somewhere around 9 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 5.8-31.6 LPA - fair for the senior level band and open to discussion based on what you bring.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. 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.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. References may be requested closer to the offer stage rather than at the start of the process.
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.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The organisation has historically promoted from within for a majority of its senior and lead openings.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The package is structured with a fixed component, performance bonus, and standard health coverage.
Learning and certification support is available for tools and frameworks directly relevant to the role. High performers in this role typically move into a broader ownership scope within 18-24 months. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Compensation includes standard statutory benefits along with performance-linked variable pay.
Interested candidates should be prepared to walk through relevant past work during the interview process. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Internal job postings are open to employees who've completed a minimum tenure in their current role.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
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.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Learning and certification support is available for tools and frameworks directly relevant to the role.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Most days include at least one review checkpoint where progress is discussed against the plan for the week. References may be requested closer to the offer stage rather than at the start of the process.
You'll be working out of Pune (full-time), and honestly, the day-to-day is going to revolve around REST API Development and Machine Learning Engineering. We're not looking for someone who just ticks boxes - we want someone who actually cares about machine learning engineering.
On paper, we'd expect M.Tech (Software Engineering) and somewhere around 9 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 5.8-31.6 LPA - fair for the senior level band and open to discussion based on what you bring.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. 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.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. References may be requested closer to the offer stage rather than at the start of the process.
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.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The organisation has historically promoted from within for a majority of its senior and lead openings.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The package is structured with a fixed component, performance bonus, and standard health coverage.
Learning and certification support is available for tools and frameworks directly relevant to the role. High performers in this role typically move into a broader ownership scope within 18-24 months. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Compensation includes standard statutory benefits along with performance-linked variable pay.
Interested candidates should be prepared to walk through relevant past work during the interview process. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Internal job postings are open to employees who've completed a minimum tenure in their current role.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
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.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Learning and certification support is available for tools and frameworks directly relevant to the role.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Most days include at least one review checkpoint where progress is discussed against the plan for the week. References may be requested closer to the offer stage rather than at the start of the process.