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Xenoss is software development lab focused on building data-driven solution for marketing and advertising industry. We build audience statistics trackers, user behaviour prediction systems, user journey optimization solutions, DMP/DSP/SSP systems, location data processing systems, email automation systems, segment builders, etc.
20 октября 2020

AI/ML Engineer (JS/Python) (вакансия неактивна)

Киев, Харьков, Львов, Днепр, Одесса, Винница, Ровно, Ужгород, Черновцы, удаленно

Необходимые навыки

— Strong understanding of data structures & algorithms
— Proficiency in JS and/or Python
— 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.

Будет плюсом

— Node.js
— React.js

Предлагаем

— Great experience and professional growth by working on challenging projects
— Highly skilled & friendly team with an excellent work ethic
— Flexible working hours
— Unlimited work-from-home option
— Various snacks, tea, coffee and fresh fruits in the office that’s open 24/7 (in case you’d like to hit up)
— Trips to London (optional)
— Paid vacation and sick-period

Обязанности

— You’ll be designing and building new AI/ML-based creative automation services and ensuring their smooth integration into the solution.
— You’ll be actively communicating with the product team on the feature requirements.
— You’ll be transforming product requirements into reliable, scalable and maintainable solution.

О проекте

The solution helps big global brands to automate the creation of marketing creatives with help of AI/ML, configure advertising campaigns in buying platforms (Google, Facebook and more), analyze performance data and discover insights, optimize performance, grow revenue & increase customer satisfaction. Through AI, creative can be reformatted at speed and scale, and automatically edited to suit the location and audience it is intended for, saving production costs and ensuring its highly targeted.

Building technology for smart advertising solutions is one of the biggest modern challenges that currently exist. Making ads to be more efficient, more relevant & less intrusive will benefit both advertisers and users. By collecting and analyzing (big) data on user reaction to the creatives platform learns & provides the most relevant creatives for a particular audience.

Tech stack includes Node.js, Express.js, React.js, Redux, Rematch, Typescript, AWS, Docker, MongoDB, Elasticsearch

The product is used by Nestle, Adidas, Uber, Virgin, HSBC, J&J, and other top brands.