Yep, we have 5 scientists and 3 data engineers. Of course, we have an infrastructure team to handle environment creation. Now, AWS offers a lot of services in a "serverless / on-demand" mode, so you don't need to have huge instances running all day, using services on-demand could save thousands of dollars in infrastructure. Therefore, it helps you to implement your Algorithms and an ETL's. We do credit scoring using ML, so, this is a key feature for us.
We have more scientists than engineers because we are doing experimental researches. But, is a good approach to have an equal(more or less) amount on both teams.
If you have more complex questions, feel free to ask me, just send me an email. You can get it on my profile.
Yep, we have 5 scientists and 3 data engineers. Of course, we have an infrastructure team to handle environment creation. Now, AWS offers a lot of services in a "serverless / on-demand" mode, so you don't need to have huge instances running all day, using services on-demand could save thousands of dollars in infrastructure. Therefore, it helps you to implement your Algorithms and an ETL's. We do credit scoring using ML, so, this is a key feature for us.
We have more scientists than engineers because we are doing experimental researches. But, is a good approach to have an equal(more or less) amount on both teams.
If you have more complex questions, feel free to ask me, just send me an email. You can get it on my profile.
Thanks Levi, appreciate the answers. It's a very interesting space in the financial world. I'll definitely be in touch.