Position: Senior/Middle ML Engineer for RnD Team
Company: Parimatch Tech
Experience required: 5y
Category: Data Science
English level: intermediate
Published: 2022-02-01T00:00:00+02:00

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:

Perform high-quality ML research;
Participate in ML project architecture and design creation;
Implement full cycle of ML related tasks including Data Preparation, Model Training, Model Deployment, etc.;
Work closely with Data Platform and all the existing services;
Participate in brainstorming and knowledge sharing sessions;
Present results to the team in an understandable manner;
Generate ideas and hypotheses to improve business KPIs based on data insides.

Essential professional experience:

5+ 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.

We care of your:
Health

Medical insurance/Sport compensation;
Sport club participation (football, running, basketball or swimming clubs);
100% paid sick leaves;
20 working days of paid vacation.

Wealth

Competitive salary and сonstant encouragement for your efforts and contribution;
Bonuses according to company’s policy;
Welfare (financial support in critical situation);
Gifts for significant life events (marriage, childbirth).

Personal and professional growth

Individual annual training budget with an opportunity to visit paid conferences, training sessions, workshops etc.;
Free corporate library;
Opportunity to visit our non-stop internal meetups: open talks, IT Pump, etc. as a participant or a speaker and exchange knowledge;
A world-class team of T-shaped skilled professionals that share knowledge and support each other.

Leisure time

Corporate parties and events (Pub Quiz, Carquest, etc.);
PM Foundation activities (social responsibility events);
Weekly events aimed at culture, arts, soft skills development.