Position: Middle ML Engineer for RnD Team
Company: GR8 Tech
Category: Data Science
Experience required: 2y
English level: intermediate

2+ years of demonstrated ML and Data Science experience;
Strong knowledge of SQL;
Strong knowledge of ML concepts;
Strong Engineering skills;
Ability to write high-quality code in Python;
Good Knowledge of statistics, probability theory;
Experience with big data technologies.

Parimatch Tech is an international product company that develops and provides tech and marketing solutions for the Gaming & Entertainment industry. Headquartered in Cyprus and operating globally, the company has R&D centers located in four countries, the largest of which is in Ukraine.
 
Hi-tech solutions and innovative approaches are what drive Parimatch Tech forward in the gaming market and remain its basis for success and development.
 
The R&D team is a part of BI&AP stream. It is a place where a lot of advanced research happens. The main areas of our work are System Evaluation, Machine Learning, Recommender Systems, Advanced Data Analysis.
 
The team consists of 8 highly skilled ML Engineers and Data Scientists, and we are growing.
 
We work closely with Data Platform, Frond End, and Data Analysts teams, discuss business goals, cooperate, and share knowledge.
 
Our main tech stack: Python (with all the scientific libs), SQL, AWS, Airflow, Kafka, Redis, GitLab CI, Grafana, Superset.
 
We develop our production-ready solutions ourselves or in cooperation with product teams because, for us, a good ML Engineer means an excellent Engineer, first of all.
 
We have weekly knowledge-sharing sessions where we present different DS topics from our experience.
 
The culture in a team is very open, and you may have a lot of freedom while working on exciting tasks. Also, we try to support each other in a team, brainstorm together, and discuss our tasks in detail.


We invite those who fired up to:
Performing high-quality ML research;
Participating in ML project architecture and design creation;
Implementing full cycle of ML related tasks including Data Preparation, Model Training, Model Deployment, etc.;
Working closely with Data Platform and all the existing services;
Participating in brainstorming and knowledge sharing sessions;
Presenting results to the team in an understandable manner;
Generating ideas and hypotheses to improve business KPIs based on data insides.

Essential professional experience:
2+ years of demonstrated ML and Data Science experience;
Strong knowledge of SQL;
Strong knowledge of ML concepts;
Strong Engineering skills;
Ability to write high-quality code in Python;
Good Knowledge of statistics, probability theory;
Experience with big data technologies.