IDI interview with a specialist who used the ray.io
Budget: $30 – $250 USD
I am looking for a specialist with experience in the ray.io platform who can provide me with insights about the platform through a audio/video interview. The main goal of this interview is to gather valuable information about the platform to help me better understand its capabilities.
The ideal candidate should have experience working with ray.io and be able to provide in-depth analysis of its features. The interview will be conducted via video recording and I am looking for candidates who are comfortable with this format. We could do voice recording or chat also if you prefer so. If you have the necessary skills and experience, please apply for this job.
The order consists of two stages:
1) answering the questions below (by text)
2) 1h call with the team
1. Can you write a few words about yourself? Who are you? Where and as who do you work?
2. If you work in a team, what is the structure of the team?
3. What tools do/do you use in the team in the context of computing, AI/ML?
4. How do you / did you use ray.io? Locally or in the cloud (e.g. AWS)? If you stopped using then why?
5. How many machines are you using? How much do you scale the solution (how many machines/GPU cards do you use using ray.io)?
6. What do you use the scaled power for (model training/computation)?
7. Was the choice of ray.io preceded by an analysis? If so - what came out of it?
8. Did you use other solutions than ray.io? If yes - which ones?
9. Did you encounter any problems while using ray.io (e.g. during configuration, use, in documentation, customer support)?
10. How did you come across the ray.io solution?
11. What value does ray.io bring to your work?
The ideal candidate should have experience working with ray.io and be able to provide in-depth analysis of its features. The interview will be conducted via video recording and I am looking for candidates who are comfortable with this format. We could do voice recording or chat also if you prefer so. If you have the necessary skills and experience, please apply for this job.
The order consists of two stages:
1) answering the questions below (by text)
2) 1h call with the team
1. Can you write a few words about yourself? Who are you? Where and as who do you work?
2. If you work in a team, what is the structure of the team?
3. What tools do/do you use in the team in the context of computing, AI/ML?
4. How do you / did you use ray.io? Locally or in the cloud (e.g. AWS)? If you stopped using then why?
5. How many machines are you using? How much do you scale the solution (how many machines/GPU cards do you use using ray.io)?
6. What do you use the scaled power for (model training/computation)?
7. Was the choice of ray.io preceded by an analysis? If so - what came out of it?
8. Did you use other solutions than ray.io? If yes - which ones?
9. Did you encounter any problems while using ray.io (e.g. during configuration, use, in documentation, customer support)?
10. How did you come across the ray.io solution?
11. What value does ray.io bring to your work?