Job Description
Machine Learning is looking for an experienced Robotics Technology Strategist to take ownership of the Robotics and Autonomous Systems 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 9 years of progressively senior experience, holding M.Tech (Machine Learning), with a demonstrated track record across MLOps, TensorFlow/PyTorch, Machine Learning Algorithms, Python, Model Evaluation & Tuning. 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 full-time arrangement. Compensation is benchmarked at INR 33.1-65.9 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 robotics and autonomous systems.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. There is a defined internal mobility path for people who want to specialise deeper or move into people management. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
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. Interested candidates should be prepared to walk through relevant past work during the interview process.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The package is structured with a fixed component, performance bonus, and standard health coverage.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. The next logical step from this position is a senior or lead-track role within the same function.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
Compensation includes standard statutory benefits along with performance-linked variable pay. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
Internal job postings are open to employees who've completed a minimum tenure in their current role. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
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. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Most days include at least one review checkpoint where progress is discussed against the plan for the week. High performers in this role typically move into a broader ownership scope within 18-24 months.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The organisation has historically promoted from within for a majority of its senior and lead openings.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. References may be requested closer to the offer stage rather than at the start of the process.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. References may be requested closer to the offer stage rather than at the start of the process. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Learning and certification support is available for tools and frameworks directly relevant to the role.
The successful candidate will bring approximately 9 years of progressively senior experience, holding M.Tech (Machine Learning), with a demonstrated track record across MLOps, TensorFlow/PyTorch, Machine Learning Algorithms, Python, Model Evaluation & Tuning. 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 full-time arrangement. Compensation is benchmarked at INR 33.1-65.9 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 robotics and autonomous systems.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. There is a defined internal mobility path for people who want to specialise deeper or move into people management. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
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. Interested candidates should be prepared to walk through relevant past work during the interview process.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The package is structured with a fixed component, performance bonus, and standard health coverage.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. The next logical step from this position is a senior or lead-track role within the same function.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
Compensation includes standard statutory benefits along with performance-linked variable pay. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
Internal job postings are open to employees who've completed a minimum tenure in their current role. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
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. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Most days include at least one review checkpoint where progress is discussed against the plan for the week. High performers in this role typically move into a broader ownership scope within 18-24 months.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The organisation has historically promoted from within for a majority of its senior and lead openings.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. References may be requested closer to the offer stage rather than at the start of the process.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. References may be requested closer to the offer stage rather than at the start of the process. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Learning and certification support is available for tools and frameworks directly relevant to the role.