Position: Machine Learning Engineer
Company: Smart Hires
Experience required: 2y
Category: Python
English level: upper
Published: 2023-01-01T00:00:00+02:00

We are actively looking for Middle ML Engineer to join the R&D team. The main areas of work are System Evaluation, Machine Learning, Recommender Systems, Advanced Data Analysis. International product company. Knowledge of Ukrainian language is required.

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.
Knowledge of Ukrainian language is required

Main responsibilities:

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.
Python (with all the scientific libs), SQL, AWS, Airflow, Kafka, Redis, GitLab CI, Grafana, Superset.
Tech stack: Python (with all the scientific libs), SQL, AWS, Airflow, Kafka, Redis, GitLab CI, Grafana, Superset.

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.);
Weekly events aimed at culture, arts, soft skills development.