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AI/GenAI ML Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
c1
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

AI/GenAI ML Engineer (AI/Data Management): Building and maintaining scalable machine learning pipelines and deploying AI models with an accent on LLM integration, RAG systems, and AI agent development. Focus on optimizing production environments, implementing advanced NLP/CV techniques, and ensuring high performance and reliability of intelligent applications.

Location: Hybrid (Athens, Greece)

Company

Quento Technologies S.A. is the ICT arm of the hirify.global, delivering innovative solutions across AI, Digital Engineering, Cloud, and Cybersecurity to support global business transformation.

What you will do

  • Build and maintain scalable machine learning pipelines for data preprocessing, training, and evaluation.
  • Deploy and monitor machine learning models in production environments to ensure reliability.
  • Integrate LLMs and VLMs into existing applications to enhance functionality.
  • Develop and implement RAG systems for knowledge-intensive applications.
  • Design and build LLM-based AI agents for automation and interactive applications.
  • Experiment with fine-tuning, prompt engineering, and embedding generation techniques.

Requirements

  • University degree in Computer Science, Engineering, or a relevant discipline.
  • 4+ years of experience in developing AI/GenAI solutions and deploying models in production.
  • Strong understanding of traditional machine learning algorithms and techniques.
  • Proficiency in Python and machine learning libraries like scikit-learn, TensorFlow, or PyTorch.
  • Experience with NLP, computer vision, and building APIs.
  • Excellent knowledge of English (written and verbal).

Nice to have

  • Microsoft Certified: Azure AI Engineer Associate or Azure Data Engineer Associate.
  • Google Cloud Professional Machine Learning Engineer certification.
  • AWS Certified Machine Learning – Specialty.
  • Certified Data Science Practitioner.

Culture & Benefits

  • Competitive compensation with annual bonus programs and ticket restaurant cards.
  • Flexible hybrid working model with home equipment benefits.
  • Modern facilities including onsite gym, wellness facilities, and company bus.
  • Private health insurance and access to an occupational doctor and counselor.
  • Personalized annual learning and development plan with mentoring and coaching.

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