Robro Systems headquartered in Indore, India has 1 active tech role on Feedback AI with AI match scores, optional skill assessments, and company insights when Glassdoor enrichment exists. Candidates browse open listings on this profile; signed-in users see ranked fit and skill gaps per role. Employers post jobs and review match-ranked applicants on the same platform.
1
Open roles tracked
0
Posted last 7 days
1
Posted last 30 days
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What employees say
+ You can explore your domain. You can earn industrial experience.
− 6 days work system. Small team, so you need to do work responsibly.
Recent Glassdoor reviews · 3 total
Pros: Good freedom of work and growth is very quick. Lot of new things to learn in growing domain of AI and automation and manufacturing
Cons: No Cons as such. If you're a self-driven person it is good. Not recommended for people who need continuous follow ups. They will not entertain.
View on GlassdoorPros: You can explore your domain. You can earn industrial experience.
Cons: 6 days work system. Small team, so you need to do work responsibly.
View on GlassdoorPros: Enough capital invested Descent office infrastructure
Cons: Very poor management. Not able to fulfill technical aspects committed to client. No idea of research and development process. More politics then actual work. Chief technical officer self does not have any logical explanation, only excuses.
View on GlassdoorCompany review data sourced from Glassdoor.
Glassdoor salary estimates for top hiring roles · 9 salary reports on Glassdoor
| Role | Location | Median | Range (LPA) | Reports |
|---|---|---|---|---|
| Engineering | India | — | — – — | — |
Salary benchmarks are estimates from Glassdoor and may differ from individual job listings.
India-scoped Glassdoor interview reports · 2 total · avg difficulty 2.5/5 · 2 questions indexed
About ml , self introduction, about ml, models , preprocessing , confusion matrix, tp, fn, fp, tn, annotation, data, interests, hobbies, about you when can you join, Machine Learning interview questions often cover algorithms (regression, classification, clustering), model evaluation metrics (precision, recall, AUC), data preprocessing, feature engineering, hyperparameter tuning, deployment, frameworks (TensorFlow, PyTorch), and real-world problem-solving.
Sample questions
It was based on project and Ubuntu .it was digital process and was interesting as well.it help me dive deep into Ubuntu operating system and operations so that i can manage console based command very easily
Sample questions
Top hiring roles: Engineering
Last updated 24 October 2026
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