Your day-to-day challenges: Working closely with the Data Science team to improve automated decision makingBuilding the infrastructure that drives our loan decision engineIntegrating with APIs to download and extract additional featuresScraping web pages for new dataMaintaining our model deployment pipelineYour skills include: 3+ years of experience as a Data EngineerPython and web-development frameworks (e.g. Flask or Django)Knowledge of web-scraping frameworks (e.g. BeatifulSoup, lxml, Selenium, or Scrapy)Experience with AWS or Google Cloud PlatformFamiliarity with continuous delivery/deploymentBasic knowledge of Machine LearningDrive for fast delivery while maintaining high quality Bonus points:
We are looking for an experienced full-stack machine learning engineer to join our team. As part of the early team you work directly with the founders and have the opportunity to significantly shape our codebase and infrastructure (Python, TensorFlow, Docker, continuous deployment to Google Cloud Platform). At the core of your position is designing, implementing, training and evaluating state-of-the-art machine learning algorithms that accurately model financial markets. Your position also includes designing large-scale data pipelines, improving our stock market trading simulation, implementing innovative portfolio optimization concepts and everything else that pops up along the early days of a startup.