We are FORM – a product company that develops a platform to conduct inspections and surveys for our customers1-on-1 mentorship, training and advice to help users land their next job. Pay only if you succeed in getting hired and start work at a high-paying job first. Ready to find your dream job? And we want you to join our Web Team as a RoR developer! We are ambitious, we are striving for success, we create amazing things!

This is a follow up on my process of developing familiarity with computer vision and machine learning techniques. As a web developer (read as "rails developer"), I found this growing sphere exciting, but don't work with these technologies on a day-to-day. This is month three of a two year journey to explore this field. If you haven't read already, you can see Part 1 here: From webdev to computer vision and geo and Part 2 here: Two months exploring deep learning and computer vision. Rails developers are good at quickly building out web applications with very little effort.

Recruiting has become the digital equivalent of looking for an elusive needle in a very, very large haystack. Artificial intelligence (AI) is fast becoming an invaluable tool for recruiters and hiring managers in sifting through that haystack, scouring applicant pools and matching the right talent to the right jobs. Consider the Palo Alto–based startup Connectifier, which is used by companies like PayPal and Netflix. It aggregates publicly available information about potential job candidates--think professional networking profiles and social media interactions--and gathers the data in its own search index. The company's AI algorithm then creates personal profiles of candidates and extracts insights about whether they would be a good match for a job, even if they're not actively searching for a new one.