With over 13 000 specialists and 88 locations, Sii Group is one of the largest international IT, engineering, digital & BPO services vendors. We support our clients within the scope of testing, software development, infrastructure management as well as system integration and system maintenance. We specialize also in the industrial automation, we offer advanced solutions in the areas of mechanical engineering, process control and production management.
13 серпня 2024

Machine Learning Engineer (вакансія неактивна)

Київ, Львів, Одеса

Sii Ukraine is a subsidiary of Sii Poland — the leader in IT, engineering, and consultancy services with over 7500 IT experts in Poland and more than 250 prestigious customers. We are looking for ambitious and top-quality professionals to join our project teams.

We invite you to join a project for one of our clients, an international company, one of the biggest sports brands in the world.

We seek a highly skilled Machine Learning Engineer who will develop robust solutions to real-world, large-scale problems that directly impact business.

Your tasks

  • Design and implement scalable applications that leverage predictive models and optimization programs to deliver data-driven decisions that result in incredible business impact
  • Contribute to core advanced analytics and machine learning platforms and tools to enable both prediction and optimization model development
  • Own projects end-to-end — from conception to operationalization, demonstrating an understanding of the full ML model lifecycle

Requirements

  • At least 4 years of relevant professional experience in writing robust, maintainable, and extendable code in Python
  • Experience with SQL and Spark
  • Knowledge of applied data science methods and machine learning algorithms. Data wrangling experience with structured and unstructured data
  • Familiar with principles of solution architecture and technical design
  • Effective communication skills

Nice to have

  • Experience with cloud architecture and technologies (preferably Amazon Web Services, Kubernetes, and Docker) and MLOps concepts