Job Description
Chief Robotics Scientist | Kochi | INR 20.2-43.1 LPA
Robotics and Autonomous Systems role, senior level, leadership - full-time.
Need: Ph.D (ML/AI), 9+ yrs.
Core skills: Deep Learning, Computer Vision/NLP Basics, Python, Machine Learning Algorithms, Robotics and Autonomous Systems.
If this fits your profile in robotics and autonomous systems, apply now.
Internal job postings are open to employees who've completed a minimum tenure in their current role. High performers in this role typically move into a broader ownership scope within 18-24 months. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
The organisation has historically promoted from within for a majority of its senior and lead openings. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
Learning and certification support is available for tools and frameworks directly relevant to the role. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. The package is structured with a fixed component, performance bonus, and standard health coverage.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. 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. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
Interested candidates should be prepared to walk through relevant past work during the interview process. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. The next logical step from this position is a senior or lead-track role within the same function. Compensation includes standard statutory benefits along with performance-linked variable pay.
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. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
Robotics and Autonomous Systems role, senior level, leadership - full-time.
Need: Ph.D (ML/AI), 9+ yrs.
Core skills: Deep Learning, Computer Vision/NLP Basics, Python, Machine Learning Algorithms, Robotics and Autonomous Systems.
If this fits your profile in robotics and autonomous systems, apply now.
Internal job postings are open to employees who've completed a minimum tenure in their current role. High performers in this role typically move into a broader ownership scope within 18-24 months. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
The organisation has historically promoted from within for a majority of its senior and lead openings. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
Learning and certification support is available for tools and frameworks directly relevant to the role. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. The package is structured with a fixed component, performance bonus, and standard health coverage.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. 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. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
Interested candidates should be prepared to walk through relevant past work during the interview process. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. The next logical step from this position is a senior or lead-track role within the same function. Compensation includes standard statutory benefits along with performance-linked variable pay.
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. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.