NLP Engineer (to London)

Вакансия № 4494518 от компании Behavox на Электронной Службе Занятости Населения Москвы.

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☑ Основной блок:

Опыт работы: 3–6 лет.

Тип занятости: полная занятость.

График работы: полный день.

Зарплата: от 190000 до 290000 руб..

Место работы (точный адрес): Россия, Москва, Сокол, Ленинградский проспект, 72к1.

☑ Актуальность объявления:

Это объявление № 4494518 добавлено в базу данных: Понедельник, 3 февраля 2025 года.

Дата его обновления на этом интернет-ресурсе: Воскресенье, 16 марта 2025 года.

☑ Статистика предложения работы № 4494518:

Прочитано соискателями - 245 раз(а);
Отправлено откликов - 0 раз(а);

☑ Репутация компании "Behavox":

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☑ Подробности о вакантном месте:

Behavox is seeking a motivated Natural Language Processing Engineer to join our team of highly skilled, industry leading software engineers. This is a fantastic opportunity to work in a fast-moving, fast-growing and hugely ambitious company.

About Behavox:

Behavox was founded in 2014 with a mission to help companies make better use of their data and improve various aspects of their business: efficiency, decision making, compliance with regulations and internal policies, and much more.

We have developed a platform that processes structured and unstructured data, analyses it using our cutting-edge sophisticated Machine Learning algorithms, and provides insights by means of patented risk-scoring logic and solutions for visualisation of complex data structures.

About the position:

The Behavox platform covers fundamental aspects of data processing, targeting massive amounts of data coming from various sources, and requires a lot of engineering effort just to store. This is before tackling the even tougher tasks of processing and making sense of it.

Our platform is a powerful tool that helps our clients work their way through billions of data items by means of searching, filtering and visualising of relationships between entities in the system. We've even built our own IDE inside it.

Some of the tasks you'll be working on:

Text cleaning and normalization;
Entities recognition / artefacts extraction;
Text classification and summarization;
Statistical modelling;
Multilingual text processing;
Language identification and machine translation.

About you:

You're passionate about engineering and have a proven track record of delivering great software;
It's not someone else's job to make sure that your code works and is readable and tested - you take full responsibility for the quality of your work;
Challenging tasks can be tough, but ultimately it's the only way to learn and get better at what you do;
Collaboration with others is key to making progress and achieving goals as a team;
Self-motivated person who loves thinking big and getting things done.

Skills & Requirements:

Tertiary degree in Computer Science / Mathematics / Machine Learning or related field;
Minimum 3 years of software development experience (Java / Python);
Minimum 2 years of NLP system development;
Intermediate level of English and above;
The ability to learn new subjects quickly, problem solving skills;
Responsibility, stress resistance, the desire to make a high-quality product;
You're ready to do a test task;
Ready to relocate to London (UK).

Desired:

Deep knowledge of and experience working in fields such as Machine Learning, Deep Learning and Statistical modeling;
Knowledge of and experience working with modern ML tools such as Tensorflow, Keras, PyTorch etc;
Experience building and maintaining large-scale distributed Machine Learning systems for data processing;
Experience in high-performance computing.

How we build Behavox:

Behavox is all about commitment and results, not the time you spend in the office. So, while our working hours are flexible the intensity, as you would expect from financial services clients, is as high-paced as it gets.
Small dynamic feature teams with short development cycles and dedicated deadlines. There is no “corporate” hierarchy and you can promote your own ideas just from day 1. We love competition.
We’re serious about testing. Code review practices and release criteria include targets for test coverage, platform capacity, performance.
Advanced Cloud DevOps platform that allows building necessary cluster configuration through just UI.
Canary releases with continuous delivery to all clients. No version fragmentation in production.

Location: