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Senior Machine Learning Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Greece
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Machine Learning Engineer (AI): Delivering robust and scalable Machine Learning pipelines and supporting the operationalization of Machine Learning models with an accent on designing scalable solutions in a distributed environment. Focus on automating model deployment, developing scalable model serving flows, and optimizing cluster scalability.

Location: Onsite in Thessaloniki, Greece

Company

hirify.global is one of the biggest GameTech companies in the world, operating in 20 markets, leveraging cutting-edge technology for entertainment.

What you will do

  • Collaborate with data scientists to deliver production-ready model training pipelines.
  • Design scalable solutions for distributed environments and inference architectures.
  • Implement model diagnostics, including evaluation and monitoring flows.
  • Automate model deployment and enable REST API model endpoints.
  • Develop scalable model serving flows and work on cluster optimization.
  • Develop and maintain internal tools, libraries, and CI/CD/CT pipelines.

Requirements

  • Extensive experience in software development using Python in large-scale, high-performance production environments.
  • Significant hands-on experience in designing ML software systems.
  • Significant experience with cloud environments like Microsoft Azure or AWS.
  • Solid understanding of the ML project lifecycle, MLOps concepts and tools such as MLflow or Kubeflow, and ML algorithms and models.
  • Hands-on experience with Spark and PySpark.
  • Excellent problem-solving and communication skills.

Culture & Benefits

  • Diverse team of more than 2.700 Kaizeners from 40+ nationalities.
  • Certified Great Place to Work across offices and among the Best Workplaces in Europe.
  • Work in self-driven, autonomous, and cross-functional teams.
  • Opportunity to collaborate with Data Scientists, Machine Learning Engineers, Data Engineers, Data Analysts, Product Owners, and Agile Delivery Leads.

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