Position: Middle ML Engineer
Company: Smart Hires
Category: Data Science
Experience required: 2y
English level: intermediate

We are actively looking for Middle ML Engineer to join our client’s international product company with exciting brand that is increasingly recognized across the world. This entertainment platform is represented in 4 continents and more than 10 countries.

**Skills required:**
• 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.

**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.

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 offer:**

• Medical insurance/Sport compensation;
• Sport club participation (football, running, basketball or swimming clubs);
• 100% paid sick leaves;
• 20 working days of paid vacation.
• Bonuses according to company’s policy;
• Gifts for significant life events (marriage, childbirth).
• 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;
• Corporate parties and events (Pub Quiz, Carquest, etc.).