Job Description
We are looking to onboard a Robotics Systems Assistant to strengthen our Robotics and Autonomous Systems function within Machine Learning. This is a junior level opening based out of Mumbai, offered on a full-time basis.
The ideal candidate holds B.Tech (CS/AI) and brings roughly 0 years of hands-on exposure to robotics and autonomous systems. Day-to-day, the work draws heavily on Computer Vision/NLP Basics, Robotics and Autonomous Systems, Python, Machine Learning Algorithms, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 9.0-25.3 LPA, in line with market standards for junior level roles within machine learning.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
This role offers a genuine opportunity to build depth in Robotics and Autonomous Systems while working alongside an experienced team.
The ideal candidate holds B.Tech (CS/AI) and brings roughly 0 years of hands-on exposure to robotics and autonomous systems. Day-to-day, the work draws heavily on Computer Vision/NLP Basics, Robotics and Autonomous Systems, Python, Machine Learning Algorithms, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 9.0-25.3 LPA, in line with market standards for junior level roles within machine learning.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
This role offers a genuine opportunity to build depth in Robotics and Autonomous Systems while working alongside an experienced team.