Machine Learning Engineer (NLP) Offline

Responsibilities

Using NLP and other techniques to large amounts of search data to perform semantic and sentiment analysis

Developing ML-driven recommendation systems to optimise the delivery of advertising messages

Implementing prototypes of the algorithms and models you design in Python, Scala, and/or scalable big data systems

Introducing, evaluating, and recommending machine learning technologies that may be relevant to our success (e.g., TensorFlow, Spark, etc.)

Focus on delivering solutions to production (this is not a research-only role)

Cooperation with existing London and Kiev based Search Intelligence team

Requirements

Experience using sophisticated algorithms (Decision Trees, DL) to applying predictive modeling.

Practical knowledge in one or more specific areas of Machine Learning (Neural Nets/Deep Learning, Text Mining/NLP, etc.)

Expertise in delivering working ML/AI solutions to production and refining them over time.

Experience with large scale distributed programming and distributed computing platforms

Good skills and/or experience in Python/Java/Scala/R

Practical knowledge of SQL and NoSQL Databases

Ability to explain complex techniques and ideas to non-technical audiences

At least Upper-intermediate English both in speaking and writing

Experience in the AdTech sector is advantageous.

We offer:

- schedule from 11 to 17;

- 20 days of vacation;

- possibility to work 24 days a year remotely;

- 5 days of paid sick leave

- 11 days paid holidays

- you can take a day off on your Birth Day.

- payment of conferences both in Ukraine and abroad

- medical insurance or $ 30 per month;

- salary review once a year (sometimes every six months).