Job Description
**Q: What qualification is expected?**
A: M.Tech (Machine Learning) or an equivalent, relevant qualification.
**Q: Where is this based?**
A: Pune, on a full-time basis.
**Q: What skills matter most?**
A: Deep Learning, Model Evaluation & Tuning, MLOps, Python, Statistical Modelling, Robotics and Autonomous Systems, Computer Vision/NLP Basics.
**Q: What does compensation look like?**
A: INR 5.2-18.1 LPA, depending on experience and interview performance.
**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 Algorithm Engineer to work within Robotics and Autonomous Systems, part of the Machine Learning function.
**Q: What's the team like?**
A: Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
**Q: Is there room to grow?**
A: Internal job postings are open to employees who've completed a minimum tenure in their current role.
**Q: What's the interview process like?**
A: References may be requested closer to the offer stage rather than at the start of the process.
**Q: What does a typical day look like?**
A: 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: M.Tech (Machine Learning) or an equivalent, relevant qualification.
**Q: Where is this based?**
A: Pune, on a full-time basis.
**Q: What skills matter most?**
A: Deep Learning, Model Evaluation & Tuning, MLOps, Python, Statistical Modelling, Robotics and Autonomous Systems, Computer Vision/NLP Basics.
**Q: What does compensation look like?**
A: INR 5.2-18.1 LPA, depending on experience and interview performance.
**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 Algorithm Engineer to work within Robotics and Autonomous Systems, part of the Machine Learning function.
**Q: What's the team like?**
A: Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
**Q: Is there room to grow?**
A: Internal job postings are open to employees who've completed a minimum tenure in their current role.
**Q: What's the interview process like?**
A: References may be requested closer to the offer stage rather than at the start of the process.
**Q: What does a typical day look like?**
A: 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.