Position: Data engineer
Company: AM-BITS
Category: Python
Experience required: 2y
English level: intermediate

Что нужно будет делать?
Быть частью продуктовой команды, которая разрабатывает собственные AI решения. 
О проекте: At DataSentics, we have created several successful AI products (ShelfInspector, Job # 1, AdPicker) and are building more. To speed up and simplify their development, we have been building our own python-based framework and daipe.ai platform for over a year. Our vision is to let data engineers and scientists work primarily on jupyter-like notebooks and provide them with the tools to easily produce these notebook-first solutions.Are you an engineer interested in ML / AI or a data-scientist who likes to program? We are looking for seniors who no longer like corporations or want to get more into ML, cloud and modern data technologies, but also enthusiastic juniors who are interested in learning new things. 
Daipe.ai already facilitates the development of business AI products in DataSentics and we want to send it to the world. The whole team now works remotely.
We are tightening the Feature Store for the management of business-important customer attributes for batch and real-time use. 
We are building a cloud infrastructure around the production of ML models (MLOps). 
We generalize Daipe so that it can also be used for python-based projects (so far primarily Spark + Databricks). 
We implement Daipe on several projects. 
We are building a web interface for platform management. 

Мы рассматриваем специалистов с разным уровнем подготовки, обязательным является наличие практического опыта с:
● Python and services where python can be executed 
● Spark, mostly Databricks and Pyspark 
● Other public cloud data platform services (machine learning, databases, big data, visualisation) 
● Data Management (ETLs, Metadata, Data ingestion & Serving, Data Quality,..) 
● GIT versioning, Infrastructure as a code (ARM, Terraform, CI/CD) ● Advanced analytics last mile Streaming (can seamlessly join kafka team and add advanced data analytics capabilities)