Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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В роли есть практическая работа с ML в продакшене, LLM, RAG и AI-агентами, но широкий круг задач и обязательная сертификация могут сузить выбор и оставить вопросы о повседневном фокусе.
?Широкий профиль
Сертификат обязателен
Актуальный стек
Поддержка развития
?Проектная работа
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Описание вакансии
Текст:
Hirify AI/Оригинал
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.
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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