Job Description
Position: Autonomous Systems Architect
Function: Robotics and Autonomous Systems
Industry: Machine Learning
Grade: senior level
Location: Nagpur
Employment Type: Full-time
Compensation: INR 14.9-36.5 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with robotics and autonomous systems, in accordance with the standards and processes laid down by Machine Learning.
Minimum Qualification: M.Sc (Data Science)
Minimum Experience: 11 years
Core Competencies Required: Cloud Platforms (AWS/GCP), Statistical Modelling, Model Evaluation & Tuning, Python, Feature Engineering, Robotics and Autonomous Systems, Deep Learning, TensorFlow/PyTorch
Further Information:
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The organisation has historically promoted from within for a majority of its senior and lead openings. Learning and certification support is available for tools and frameworks directly relevant to the role. The package is structured with a fixed component, performance bonus, and standard health coverage. 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. 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. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. 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. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. 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. Internal job postings are open to employees who've completed a minimum tenure in their current role. References may be requested closer to the offer stage rather than at the start of the process. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. 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. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. There is a defined internal mobility path for people who want to specialise deeper or move into people management. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Compensation includes standard statutory benefits along with performance-linked variable pay. The next logical step from this position is a senior or lead-track role within the same function. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Interested candidates should be prepared to walk through relevant past work during the interview process. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Learning and certification support is available for tools and frameworks directly relevant to the role. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
Function: Robotics and Autonomous Systems
Industry: Machine Learning
Grade: senior level
Location: Nagpur
Employment Type: Full-time
Compensation: INR 14.9-36.5 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with robotics and autonomous systems, in accordance with the standards and processes laid down by Machine Learning.
Minimum Qualification: M.Sc (Data Science)
Minimum Experience: 11 years
Core Competencies Required: Cloud Platforms (AWS/GCP), Statistical Modelling, Model Evaluation & Tuning, Python, Feature Engineering, Robotics and Autonomous Systems, Deep Learning, TensorFlow/PyTorch
Further Information:
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The organisation has historically promoted from within for a majority of its senior and lead openings. Learning and certification support is available for tools and frameworks directly relevant to the role. The package is structured with a fixed component, performance bonus, and standard health coverage. 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. 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. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. 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. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. 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. Internal job postings are open to employees who've completed a minimum tenure in their current role. References may be requested closer to the offer stage rather than at the start of the process. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. 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. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. There is a defined internal mobility path for people who want to specialise deeper or move into people management. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Compensation includes standard statutory benefits along with performance-linked variable pay. The next logical step from this position is a senior or lead-track role within the same function. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Interested candidates should be prepared to walk through relevant past work during the interview process. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Learning and certification support is available for tools and frameworks directly relevant to the role. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.