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7 дней назад

AI/GenAI - ML Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Greece
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
AI/GenAI - ML Engineer (AI): Building and deploying scalable machine learning pipelines, LLM/VLM integrations, RAG systems, and AI agents with an accent on production reliability, model evaluation, and cloud AI services. Focus on designing LLM-based automation, optimizing model performance, and mentoring junior engineers across Azure, AWS, and GCP technologies.

Location: Athens, Attica, Greece; Workplace: Hybrid

Company

Quento, the ICT arm of hirify.global, delivers solutions across AI, digital engineering, cloud, and cybersecurity, with a presence in Greece, Luxembourg, and Belgium.

What you will do

  • Build and maintain scalable machine learning pipelines for data preprocessing, training, and evaluation.
  • Deploy, monitor, analyze, and optimize machine learning models in production.
  • Integrate LLMs and VLMs into applications and develop RAG systems for knowledge-intensive use cases.
  • Design and deploy LLM-based AI agents for automation, customer support, and interactive applications.
  • Experiment with fine-tuning, prompt engineering, embedding generation, and other LLM techniques.
  • Document models, pipelines, and APIs; participate in code reviews, follow AI development best practices, and mentor junior AI engineers.

Requirements

  • University degree in Computer Science, Engineering, or a relevant discipline.
  • 3+ years of experience developing AI/GenAI solutions and deploying machine learning models in production.
  • Strong understanding of traditional machine learning algorithms, including regression, decision trees, support vector machines, and clustering.
  • Proficiency in Python and experience with scikit-learn, TensorFlow, or PyTorch.
  • Experience with NLP, computer vision, building and deploying AI agents, and building and deploying APIs.
  • Relevant certification required, such as Microsoft Certified: Azure AI Engineer Associate, Google Cloud Professional Machine Learning Engineer, or AWS Certified Machine Learning – Specialty.
  • Proactive, self-motivated, detail-oriented, quality-focused, and able to work effectively in a fast-paced collaborative environment.
  • Excellent written and verbal communication skills, a strong desire to learn, and willingness to work in an international/multicultural environment.
  • Excellent written and verbal English required.

Nice to have

  • Experience with Azure OpenAI, Azure AI Search, and Azure Machine Learning.
  • Microsoft Certified: Azure Data Engineer Associate.
  • Certified Data Science Practitioner.

Culture & Benefits

  • Flexible hybrid working model with home equipment benefits.
  • Competitive compensation, restaurant card, and annual bonus programs.
  • Private health insurance, occupational doctor, workplace counselor, and wellness facilities.
  • IT equipment, mobile and data plan, modern facilities, free beverages, indoor parking, and company bus.
  • Mentoring, coaching, personalized annual learning and development plan, and career development tools.
  • Employee referral bonuses and regular wellbeing, ESG, and volunteering activities.

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