Job Description
An opening exists for a Robotics Technical Lead to join the Machine Learning vertical, focused on Robotics and Autonomous Systems. This is a senior level opening based out of Pune, offered on a hybrid basis.
The ideal candidate holds Ph.D (ML/AI) and brings roughly 9 years of hands-on exposure to robotics and autonomous systems. Day-to-day, the work draws heavily on Python, Cloud Platforms (AWS/GCP), Robotics and Autonomous Systems, Feature Engineering, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 32.7-86.6 LPA, in line with market standards for senior level roles within machine learning.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. 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. The next logical step from this position is a senior or lead-track role within the same function.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. The organisation has historically promoted from within for a majority of its senior and lead openings.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Internal job postings are open to employees who've completed a minimum tenure in their current role.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
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.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Compensation includes standard statutory benefits along with performance-linked variable pay.
We value consistency and follow-through more than flashy credentials - if that matches how you work, apply in.
The ideal candidate holds Ph.D (ML/AI) and brings roughly 9 years of hands-on exposure to robotics and autonomous systems. Day-to-day, the work draws heavily on Python, Cloud Platforms (AWS/GCP), Robotics and Autonomous Systems, Feature Engineering, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 32.7-86.6 LPA, in line with market standards for senior level roles within machine learning.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. 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. The next logical step from this position is a senior or lead-track role within the same function.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. The organisation has historically promoted from within for a majority of its senior and lead openings.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Internal job postings are open to employees who've completed a minimum tenure in their current role.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
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.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Compensation includes standard statutory benefits along with performance-linked variable pay.
We value consistency and follow-through more than flashy credentials - if that matches how you work, apply in.