Job Description
**Q: What does compensation look like?**
A: INR 20.4-53.0 LPA, depending on experience and interview performance.
**Q: Where is this based?**
A: Pune, on a hybrid basis.
**Q: What qualification is expected?**
A: M.Sc (Data Science) or an equivalent, relevant qualification.
**Q: What skills matter most?**
A: TensorFlow/PyTorch, Python, Statistical Modelling, Machine Learning Algorithms, Model Evaluation & Tuning, Data Preprocessing, Robotics and Autonomous Systems.
**Q: What experience is required?**
A: Around 6 years, consistent with a mid level profile.
**Q: What is this role about?**
A: We're hiring a Robotics Optimization Engineer to work within Robotics and Autonomous Systems, part of the Machine Learning function.
**Q: Is there room to grow?**
A: Learning and certification support is available for tools and frameworks directly relevant to the role.
**Q: What's the interview process like?**
A: The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
**Q: What does a typical day look like?**
A: There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
**Q: What's the team like?**
A: The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
A: INR 20.4-53.0 LPA, depending on experience and interview performance.
**Q: Where is this based?**
A: Pune, on a hybrid basis.
**Q: What qualification is expected?**
A: M.Sc (Data Science) or an equivalent, relevant qualification.
**Q: What skills matter most?**
A: TensorFlow/PyTorch, Python, Statistical Modelling, Machine Learning Algorithms, Model Evaluation & Tuning, Data Preprocessing, Robotics and Autonomous Systems.
**Q: What experience is required?**
A: Around 6 years, consistent with a mid level profile.
**Q: What is this role about?**
A: We're hiring a Robotics Optimization Engineer to work within Robotics and Autonomous Systems, part of the Machine Learning function.
**Q: Is there room to grow?**
A: Learning and certification support is available for tools and frameworks directly relevant to the role.
**Q: What's the interview process like?**
A: The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
**Q: What does a typical day look like?**
A: There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
**Q: What's the team like?**
A: The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.