Position: Data Engineer + ML (AWS)
Company: Eye4fraud
Experience required: 2y

We're looking for an experienced Machine Learning engineer that can work with data at the DB level (Aurora MySQL). You'll be the only person on that project. We are a SaaS company providing an anti-fraud solution for e-commerce businesses. The company uses AWS as the cloud provider so our OLTP and OLAP data is on Aurora. For Machine Learning, we're using SageMaker with ETLs in raw Python Jupyther Notebook (also hosted on AWS). Currently, we have a PoC pilot and need to tune up and improve the pipelines to move the project from PoC to Production. For now, it's a single model but we'd like to have 6 of them trained with different features for A/B testing. The team is 10 engineers altogether (front-end, backend, platform, etc.). We use Slack for communication and have only a few meetings throughout the week.
	Required Skills:
Previous experience with AWS SageMaker
Solid SQL and NoSQL skills
Familiarity with modern 'Data Lake', 'Data Mesh', and 'Data Warehouse' paradigms
Python programming with Docker to containerize the code
Owner mentality: "You build it - you run it!". No "not my job" things
Be able to simplify technical implementation and make it understandable for the business
Willing to learn best practices, develop skills, and pass certifications (at the company's expense)