Full-Stack AI and Backend in Finance

Current priorities - 2, 3, 4, 5 - If you are interested in all and finance - you have a bright future! Please do not apply or try to get this Job if you are NOT sure that you can deliver - We will create a github repo for you - deliver partial DB dumps- are requesting an agile workmode (sub 1week deliveries and workpackages) - working with a friend or 2 other developers with more experience (partly helping you!) could be a viable option! And as good as one Developer with 10Y of exp. -

1. AI development with Keras- tensorflow - Pytorch - 2. Pandas - Numpy - Scykit Learn: Setup different Net Architectures- Train nets on new data (delivered by us)- Deploy model training pipeline (in Docker)- Deploy model for prediction in docker- Hyper-parameter tuning- Evaluation of models on test data- Backtesting on financial data- statistical modeling + statistical analysis and data analysis (in closer collaboration with us)
2. Backend Dev - We are planning to deploy our backend in NodeJS - Mongo DB is used as DB - own datalake and architecture (to save ridiculous cloud costs during PoC phases...)
3. UI / Front-endWe are (currently) developing our front-end in Angular- (e.g. OS Tradingview library) other applications can be in other languages- frameworks - Angular preferred- but react native (for mobile development) is very interesting
4. Scraping & full pipeline dev - micro-services architecture- UI integration if possible in Angular - Java script- Typescript - And Node.JS (Backend)
5. Scraping with HTML Parsing tools (Py- Scrapy- Beautiful soup) - Possible in Java or Python- Scraping sources- text data- deploying workarounds if access are blocked- -> requires working by yourself- finding fixes / hacks whatever…