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5 дней назад

AI Software Engineer

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

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TL;DR

AI Software Engineer: Designing, developing, and deploying innovative AI solutions for a large-scale media platform with an accent on model training, optimization, and cloud-native integration. Focus on building scalable production-ready services, implementing MLOps workflows, and managing the full AI lifecycle.

Location: Kraków, Poland

Company

A family-owned media business operating over 150 radio and podcast brands across nine European countries, dedicated to delivering content that enriches everyday lives.

What you will do

  • Develop and deploy AI-powered solutions including NLP, recommendation systems, and content analysis.
  • Integrate third-party and cloud-native AI services from Azure, AWS, or GCP into existing products.
  • Train, fine-tune, and optimize machine learning models for production environments.
  • Automate deployment, monitoring, and lifecycle management of AI services.
  • Build and maintain robust data pipelines for large-scale processing.
  • Apply MLOps and DevOps best practices using Docker and Kubernetes.

Requirements

  • At least 5 years of experience delivering AI/ML models into production.
  • Strong proficiency in Python and JavaScript.
  • Hands-on experience with Azure AI Services.
  • Solid knowledge of ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Familiarity with MLOps/DevOps workflows and data engineering.
  • Strong problem-solving skills and ability to work both independently and collaboratively.

Nice to have

  • Experience with Go programming language.
  • Exposure to AWS or GCP cloud environments.

Culture & Benefits

  • Work within a central AI team with high visibility and broad business impact.
  • Access to continuous learning, training, and opportunities to deepen AI expertise.
  • Collaborate with experienced engineers and researchers in a strong technical environment.
  • Experiment with new technologies and influence the technical direction of AI initiatives.
  • Solve diverse engineering challenges across multiple business domains.
  • Clear growth paths into senior technical, architecture, or AI specialist roles.

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