Position: AI/ML Computer Vision Engineer | Creative analytics platform
Company: Xenoss
Category: Data Science
Experience required: 2y
English level: intermediate

**Must-have skills**

— Strong understanding of data structures & algorithms
— Proficiency in Python (or JS)
— Experience of building applications/services based on open source ML models
— Goal orientation & Problem-solving
— Working proficiency in English

**Do not hesitate to apply if you are missing some specific experience. We will be happy to help you with gaining one.**

**Nice-to-have skills**

— React.js

**What will be your goal**

Your goal will be to develop solutions for video content analysis that are based on Computer Vision AI technologies

**What you will do**

— You’ll be working in one of the cross-functional product development squads of an international startup
— You’ll be researching, testing and improving an open-source ML/AI solutions for video processing (including object detection, object tracking, audio analysis, text analysis, emotional analysis)
— You’ll be transforming product requirements into reliable, scalable and maintainable solution.

**What you get**

— Teams of people who love programming
— Complex technical challenges with big data/AI/high load
— Freedom to make your own engineering decisions and broad space for creativity
— Modern technology stack to work with
— Work remotely or from the office options on a flexible schedule
— Long-lasting projects
— Financial compensation for professional events and education
— Opportunity to choose the equipment you like
— Above-market compensation

**Client**

An international startup company with headquarters in London and several offices across Europe. Their investors are founders of WhatApp, Playrix, and Nekki.

**Project**

We build a corporate social network enabling big globally distributed teams to improve productivity by sharing successful problem-solving approaches with colleagues. Teams put successful cases description in global fuzzy-structured storage allowing their colleagues who deal with a similar challenge to search, reuse and evaluate the shared experience. The heart of the solution is a smart search engine enabling obtaining relevant content in an unstructured corporate data hub. Content rating, sharing, and comments systems introduce efficient collaborative mechanisms and improve experience reuse. We use a broad spectrum of tech for storing, processing, indexing, and searching unstructured data of various formats, like videos, GoogleDrive files, web pages, etc.