Machine Learning Engineer, Kalepa

• You must have 3+ years of experience in engineering and data science
• You love to hustle: finding ways to get things done, destroying obstacles, and never taking no for an answer. The words “it can’t be done” don’t exist in your vocabulary
• You have in-depth understanding of applied machine learning algorithms, especially NLP, and statistics
• You are experienced in Python and its major data science libraries, and have deployed models and algorithms in production
• You are comfortable with data science as well as with the engineering required to bring your models to production
• You are excited about using a wide set of technologies, ultimately focused on finding the right tool for the job
• You value open, frank, and respectful communication

Desirable

• As a Machine Learning Engineer you will lead the framing, development, and deployment at scale of machine learning models to understand the risk of various classes of businesses. You will be turning vast amounts of structured and unstructured data from many sources (web data, geolocation, satellite imaging, etc.) into novel insights about behavior and risk