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6 дней назад

Senior 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

Текст:
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TL;DR
Senior AI Software Engineer (AI/ML): Building and deploying production-ready AI solutions, applications, and cloud services for media products with an accent on NLP, recommendation systems, content analysis, and model optimization. Focus on training and fine-tuning machine learning models, automating MLOps and deployment workflows, and building large-scale data pipelines.

Location: Kraków, Poland

Company

A media business creating print, digital, audio, broadcasting, podcast, and entertainment content across Europe.

What you will do

  • Develop and deploy AI-powered solutions for NLP, recommendations, content analysis, and other media use cases.
  • Integrate and extend cloud-native AI services across Azure, AWS, and GCP.
  • Train, fine-tune, and optimize machine learning models for production use.
  • Automate deployment, monitoring, and lifecycle management of AI models and services.
  • Build and maintain data pipelines for large-scale processing.
  • Apply MLOps and DevOps practices using Docker, Kubernetes, and CI/CD.

Requirements

  • At least five years of experience delivering AI/ML models into production.
  • Strong Python and JavaScript skills; Go is a plus.
  • Hands-on experience with Azure AI Services; AWS and GCP exposure is preferred.
  • Knowledge of TensorFlow, PyTorch, and scikit-learn.
  • Familiarity with MLOps, DevOps workflows, and data engineering.
  • Strong problem-solving skills and the ability to work independently and collaboratively.

Culture & Benefits

  • Work in a central AI team delivering solutions across the organization.
  • Build end-to-end AI products using modern LLMs, machine learning, and current AI tooling.
  • Collaborate with AI engineers and researchers through regular knowledge sharing.
  • Access continuous learning, training, and opportunities to deepen AI and software engineering expertise.
  • Experiment with new technologies and influence the technical direction of AI initiatives.
  • Opportunities to grow into senior technical, architecture, or AI specialist roles.

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