Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Вакансия предлагает понятную работу с AI для начинающего специалиста, обучение и опыт внедрения моделей в облаке и production. При этом консалтинговый формат может означать частую смену клиентских проектов.
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Клиентские проектыСовременный стекОбучение и ростНужен итальянский
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Engineer (Artificial Intelligence): Developing full-lifecycle AI and machine learning solutions, from data cleaning and predictive modeling to production deployment, with an accent on Generative AI, cloud platforms, and AIOps. Focus on building LLM- and Transformer-based systems, industrializing models across AWS, GCP, and Azure, and integrating solutions with Data Engineering teams.
Location: Milan, Verona, Florence, or Rome, Italy; work mode may be 100% remote, hybrid, or in-office.
Salary: €28,000–€36,000 gross annual salary.
Company
hirify.global is a global management consulting firm focused on Business Analytics, Corporate Performance Management, and Advanced Business Solutions, with more than 2,500 professionals worldwide.
What you will do
Develop AI solutions across the full lifecycle, including problem definition, data cleaning, modeling, and production deployment.
Build predictive, statistical, optimization, and Generative AI solutions using LLMs and Transformers.
Industrialize models from local environments to cloud platforms using scalable and reliable AIOps practices.
Work with AWS, GCP, Azure, Databricks, SageMaker, and Vertex AI for large-scale data science.
Translate complex data into actionable business insights and communicate findings to clients.
Collaborate with Data Engineers to integrate models into live systems.
Requirements
Master’s degree in Computer Science, Engineering, Mathematics, Statistics, Data Science, or a related STEM field.
1–3 years of experience in AI, Machine Learning, or Data Science.
Proficiency in Python, NumPy, Pandas, and scikit-learn.
Familiarity with Git, virtual environments, and SQL or NoSQL databases.
Understanding of regression, classification, clustering, and dimensionality reduction, or experience with Generative AI including LLMs, fine-tuning, prompt engineering, OpenAI API, LangChain, and vector databases.
Fluency in Italian at C1 level and proficiency in English; language skills will be tested during the interview.
Culture & Benefits
Permanent employment contract under CCNL Commercio.
80 hours of initial training through Internal Academies, followed by coaching and support for professional certifications.
Semi-annual performance reviews with salary adjustments based on results and predefined criteria.
International, inclusive, and collaborative culture with opportunities for international travel.
Supplementary health insurance, meal vouchers, and a structured corporate welfare plan.
Flexible work mode: 100% remote, hybrid, or in-office.
Hiring process
Apply through the company careers portal; Italian and English language skills are tested during the interview process.
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