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 (wfh) basis.
**Q: What skills matter most?**
A: Python, AI Strategy, Computer Vision/NLP Basics, TensorFlow/PyTorch, Business Integration, Model Evaluation & Tuning, Machine Learning Algorithms.
**Q: What is this role about?**
A: We're hiring a AI Transformation Technology Engineer to work within AI Strategy & Business Integration, part of the Machine Learning function.
**Q: What experience is required?**
A: Around 6 years, consistent with a mid level profile.
**Q: What does compensation look like?**
A: INR 12.6-27.4 LPA, depending on experience and interview performance.
**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.
**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.
A: M.Tech (Machine Learning) or an equivalent, relevant qualification.
**Q: Where is this based?**
A: Pune, on a full-time (wfh) basis.
**Q: What skills matter most?**
A: Python, AI Strategy, Computer Vision/NLP Basics, TensorFlow/PyTorch, Business Integration, Model Evaluation & Tuning, Machine Learning Algorithms.
**Q: What is this role about?**
A: We're hiring a AI Transformation Technology Engineer to work within AI Strategy & Business Integration, part of the Machine Learning function.
**Q: What experience is required?**
A: Around 6 years, consistent with a mid level profile.
**Q: What does compensation look like?**
A: INR 12.6-27.4 LPA, depending on experience and interview performance.
**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.
**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.