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5 часов назад

AI Engineer

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
France/Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

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Описание вакансии

Текст:
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TL;DR
AI Engineer (LLMs/MLOps): Designing, building, and deploying AI solutions based on LLMs and traditional machine learning models from PoC to production with an accent on RAG, fine-tuning, data preparation, and model operations. Focus on integrating and evaluating models, building ML pipelines, deploying production services, and maintaining monitoring and data quality.

Location: Hybrid setup in Warsaw, Poland

Company

hirify.global is an international consulting group specializing in innovation and business transformation through technology, including AI, data, cloud, and application services.

What you will do

  • Design, build, and deploy AI solutions using LLMs and traditional machine learning models from PoC to production.
  • Implement and integrate AI models, including fine-tuning, RAG, embeddings, and ML pipelines.
  • Deploy models to production and maintain them through MLOps, monitoring, and evaluation.
  • Prepare datasets and improve feature engineering and data quality.
  • Deliver tasks independently within a defined solution architecture.

Requirements

  • Strong Python skills and experience with PyTorch or TensorFlow, scikit-learn, LangChain, or LlamaIndex.
  • Knowledge of LLM technologies, including prompt engineering, RAG, fine-tuning, embeddings, and vector databases such as Qdrant or pgvector.
  • Experience with supervised and unsupervised learning, model evaluation, and validation.
  • Experience with MLOps, Docker or Kubernetes, CI/CD, MLflow, and model serving with tools such as vLLM or Triton.
  • Knowledge of SQL, cloud platforms, and/or on-premises infrastructure.
  • English and Polish language skills required.

Culture & Benefits

  • Full-time permanent employment contract or contractor mode.
  • Professional growth and learning opportunities.
  • Multicultural team and international working environment.
  • Private medical and life insurance.
  • Lunch and transport card through a flexible remuneration package.
  • Online language classes and Smart Office Pack.

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