Job Description
Machine Learning is looking for an experienced MLOps Architect to take ownership of the MLOps charter at a senior level. This is a role for someone who has already operated at scale and is comfortable setting direction rather than simply following one.
The successful candidate will bring approximately 16 years of progressively senior experience, holding M.Tech (Machine Learning), with a demonstrated track record across Deep Learning, Python, Data Preprocessing, Machine Learning Algorithms, MLOps. Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.
Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Nagpur on a hybrid arrangement. Compensation is benchmarked at INR 40.6-91.7 LPA, reflecting the seniority and scope of the position.
Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within mlops.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. References may be requested closer to the offer stage rather than at the start of the process.
Most days include at least one review checkpoint where progress is discussed against the plan for the week. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Learning and certification support is available for tools and frameworks directly relevant to the role.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Interested candidates should be prepared to walk through relevant past work during the interview process.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The package is structured with a fixed component, performance bonus, and standard health coverage.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Compensation includes standard statutory benefits along with performance-linked variable pay.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. 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 next logical step from this position is a senior or lead-track role within the same function.
The successful candidate will bring approximately 16 years of progressively senior experience, holding M.Tech (Machine Learning), with a demonstrated track record across Deep Learning, Python, Data Preprocessing, Machine Learning Algorithms, MLOps. Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.
Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Nagpur on a hybrid arrangement. Compensation is benchmarked at INR 40.6-91.7 LPA, reflecting the seniority and scope of the position.
Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within mlops.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. References may be requested closer to the offer stage rather than at the start of the process.
Most days include at least one review checkpoint where progress is discussed against the plan for the week. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Learning and certification support is available for tools and frameworks directly relevant to the role.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Interested candidates should be prepared to walk through relevant past work during the interview process.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The package is structured with a fixed component, performance bonus, and standard health coverage.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Compensation includes standard statutory benefits along with performance-linked variable pay.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. 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 next logical step from this position is a senior or lead-track role within the same function.