Job Description
Position: Robotics Deployment Assistant
Function: Robotics and Autonomous Systems
Industry: Machine Learning
Grade: junior level
Location: Gurugram
Employment Type: Contract
Compensation: INR 8.1-25.0 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.Tech (Machine Learning)
Minimum Experience: 2 years
Core Competencies Required: Python, Computer Vision/NLP Basics, Statistical Modelling, Robotics and Autonomous Systems
Further Information:
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Relocation assistance may be extended for candidates moving from a different city, subject to approval. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Compensation includes standard statutory benefits along with performance-linked variable pay. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The package is structured with a fixed component, performance bonus, and standard health coverage. 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. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. 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. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The next logical step from this position is a senior or lead-track role within the same function. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Interested candidates should be prepared to walk through relevant past work during the interview process.
Function: Robotics and Autonomous Systems
Industry: Machine Learning
Grade: junior level
Location: Gurugram
Employment Type: Contract
Compensation: INR 8.1-25.0 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.Tech (Machine Learning)
Minimum Experience: 2 years
Core Competencies Required: Python, Computer Vision/NLP Basics, Statistical Modelling, Robotics and Autonomous Systems
Further Information:
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Relocation assistance may be extended for candidates moving from a different city, subject to approval. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Compensation includes standard statutory benefits along with performance-linked variable pay. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The package is structured with a fixed component, performance bonus, and standard health coverage. 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. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. 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. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The next logical step from this position is a senior or lead-track role within the same function. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Interested candidates should be prepared to walk through relevant past work during the interview process.