Senior Machine Learning Engineer

Published on Aug 09, 2021
GLOBRECS | Global Recruitment Solutions

A Product company with office in Kyiv, Ukraine.

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1-3 years
Job Type:
Data Engineering
Deep Learning
Data Science & AI

What You Will Do Responsibilities

Business optimization project work and coordination of data 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.

What You Should Bring

A degree in Computer Science (technical or economics degree);
3+ years of 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.


Previous retail industry experience or in banking/telecommunication companies;
NoSQL experience (HDFS, Hadoop, Spark);
Understanding Kubernetes Architecture for Data Science Workloads.

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