Business optimization project work and coordination of date scientists
Deployment and maintenance of ML framework/platforms (DVC and MLflow)
Design and optimization of ML architecture and balancing of model computing
Coordination and maintenance of the ML architecture documentation process
Health monitoring of ML infrastructure, quality and performance of ML models
Development, automation, monitoring and optimization of ML pipelines

Що ви маєте вміти

Обов'язково

(MLOps, ML, Data Analysis, Python, SQL, ETL, Visualization, Wiki)
Technical or Economics Degree
3+ years of corresponding experience
Experience with MLOps (preferably DVC, MLflow, Airflow, Flask, Docker, Git, etc.)
Strong Machine Learning and Data Analysis skills
Experience with ML frameworks (TensorFlow/Keras, etc.)
Strong Python and SQL
Experience with ETL and visualization tools
Good understanding of DWH & Data Lakes architecture
Good documentation skills
Intermediate English level or higher

Буде плюсом

Experience in retail, banking or telecommunications companies
NoSQL experience (HDFS, Hadoop, Spark)
Understanding Kubernetes Architecture for Data Science Workloads

Що ви отримаєте Пропонуємо

Competitive compensation and Performance Review every six months
Social package: medical insurance, 24 calendar days of paid vacation per year, documented sick days paid
Special offers & partial coverage of costs for sport clubs
Discounts in the Silpo chain (up to 30%)
Full coverage of costs for courses ($300 per year)
Free Internal IT Academy courses
Free English courses
Variety of social and professional activities