Backend development for a San Francisco AI startup

We're Tika, an Alchemist Accelerator-funded startup in San Francisco. We're building AI that helps software engineering leaders understand everything that's happening in their organization so that they can make the right decision at the right time. We're looking for a kickass, self-motivated Python/Django developer to help us build out our backend. Some of the projects you'd be working on: -Adding functionality to chat bots using Google Dialogflow -Chat platform integrations (Slack, Microsoft Teams, etc.) -API end points for chat bots and analytics dashbnoard -Integrations to key data sources (Github, Jira, etc.) -(If desired) machine learning models and NLP algorithms to help Tika understand natural language and make smart recommendations Required skills: -Python3 -Django -PostgreSQL Preferred (but not required) skills: -NLP -Machine Learning -Some ReactJS experience 1. Write Django models to model the following data: An employee has a name and a unique id. There are 0 or more reports associated with each employee. Each report can be associated with 1 or more employees. Each report has a datetime, a score (floating 2. Based on your answer to 1), using the Django ORM only, given an employee's id, find all the unique reports associated with that employee which have at least 1 detail item whose text contains the string "hello world". 3. Using the Django ORM only, given an employee's id, find one of the latest reports with the highest score which also matches the criteria in question 2). 4. What is the Big O notation, or time complexity, of searching for an element in an unsorted array?