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

• Kalepa is looking for a Machine Learning Engineer with 3+ years of experience to lead the framing, development, and deployment at the scale of machine learning models
• 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
• Team members are given full ownership over their projects and are expected to drive the project’s direction and maintain focus. The team works in a two-week sprint, and ML Engineers will work closely with Product Management and Software Engineers