Job Description
**Q: What experience is required?**
A: Around 14 years, consistent with a senior level profile.
**Q: What skills matter most?**
A: Python, Machine Learning Algorithms, Computer Vision/NLP Basics, Cloud Platforms (AWS/GCP), MLOps, Deep Learning, TensorFlow/PyTorch, Data Preprocessing.
**Q: What does compensation look like?**
A: INR 8.3-30.5 LPA, depending on experience and interview performance.
**Q: What qualification is expected?**
A: M.Sc (Data Science) or an equivalent, relevant qualification.
**Q: What is this role about?**
A: We're hiring a ML Infrastructure Architect to work within MLOps, part of the Machine Learning function.
**Q: Where is this based?**
A: Lucknow, on a full-time basis.
**Q: Is there room to grow?**
A: The organisation has historically promoted from within for a majority of its senior and lead openings.
**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: Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
**Q: What's the interview process like?**
A: Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
A: Around 14 years, consistent with a senior level profile.
**Q: What skills matter most?**
A: Python, Machine Learning Algorithms, Computer Vision/NLP Basics, Cloud Platforms (AWS/GCP), MLOps, Deep Learning, TensorFlow/PyTorch, Data Preprocessing.
**Q: What does compensation look like?**
A: INR 8.3-30.5 LPA, depending on experience and interview performance.
**Q: What qualification is expected?**
A: M.Sc (Data Science) or an equivalent, relevant qualification.
**Q: What is this role about?**
A: We're hiring a ML Infrastructure Architect to work within MLOps, part of the Machine Learning function.
**Q: Where is this based?**
A: Lucknow, on a full-time basis.
**Q: Is there room to grow?**
A: The organisation has historically promoted from within for a majority of its senior and lead openings.
**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: Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
**Q: What's the interview process like?**
A: Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.