Job Description
## Robotics Systems Integration Specialist
**Department:** Robotics and Autonomous Systems | **Industry:** Machine Learning
**Location:** Hybrid - Pune | **Job Type:** Contract | **CTC:** INR 3.7-29.4 LPA
### Role Overview
An opening exists for a Robotics Systems Integration Specialist to join the Machine Learning vertical, focused on Robotics and Autonomous Systems. The role is positioned at the mid level and reports into the broader Robotics and Autonomous Systems charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to robotics and autonomous systems.
- Apply working knowledge of TensorFlow/PyTorch and Feature Engineering to daily execution.
- Coordinate with cross-functional stakeholders within Machine Learning.
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- M.Tech (Machine Learning) or equivalent qualification.
- 3 years of relevant experience (mid level).
- Working proficiency in: TensorFlow/PyTorch, Feature Engineering, Robotics and Autonomous Systems, Python, Cloud Platforms (AWS/GCP), MLOps, Data Preprocessing, Machine Learning Algorithms.
### Additional Notes
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. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. High performers in this role typically move into a broader ownership scope within 18-24 months. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Interested candidates should be prepared to walk through relevant past work during the interview process. Compensation includes standard statutory benefits along with performance-linked variable pay. The package is structured with a fixed component, performance bonus, and standard health coverage. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The next logical step from this position is a senior or lead-track role within the same function. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
**Department:** Robotics and Autonomous Systems | **Industry:** Machine Learning
**Location:** Hybrid - Pune | **Job Type:** Contract | **CTC:** INR 3.7-29.4 LPA
### Role Overview
An opening exists for a Robotics Systems Integration Specialist to join the Machine Learning vertical, focused on Robotics and Autonomous Systems. The role is positioned at the mid level and reports into the broader Robotics and Autonomous Systems charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to robotics and autonomous systems.
- Apply working knowledge of TensorFlow/PyTorch and Feature Engineering to daily execution.
- Coordinate with cross-functional stakeholders within Machine Learning.
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- M.Tech (Machine Learning) or equivalent qualification.
- 3 years of relevant experience (mid level).
- Working proficiency in: TensorFlow/PyTorch, Feature Engineering, Robotics and Autonomous Systems, Python, Cloud Platforms (AWS/GCP), MLOps, Data Preprocessing, Machine Learning Algorithms.
### Additional Notes
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. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. High performers in this role typically move into a broader ownership scope within 18-24 months. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Interested candidates should be prepared to walk through relevant past work during the interview process. Compensation includes standard statutory benefits along with performance-linked variable pay. The package is structured with a fixed component, performance bonus, and standard health coverage. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The next logical step from this position is a senior or lead-track role within the same function. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.