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4 дня назад

AI Specialist (AI/ML)

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
Germany
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 Specialist (AI/ML): Developing, training, and optimizing AI and machine learning models for diverse business applications with an accent on designing statistical models and data-driven solutions. Focus on building and maintaining AI infrastructure, developing advanced AI solutions like computer vision and transformer-based models, and collaborating to ensure scalable systems.

Location: Ochtrup (Germany)

Company

hirify.global is Europe’s market leader in catering equipment, providing professional equipment to restaurants and snack bars.

What you will do

  • Develop, train, and optimize AI and machine learning models for a wide range of business applications.
  • Design and implement statistical models and data-driven solutions to improve processes and decision-making.
  • Build and maintain infrastructure for AI workloads, including model training, evaluation, and deployment.
  • Work with large datasets; collecting, cleaning, transforming, and analyzing data.
  • Develop advanced AI solutions such as computer vision, speech recognition, transformer-based models, embeddings, or neural networks.
  • Collaborate closely with Development and IT to ensure scalable and production-ready AI systems.

Requirements

  • Strong programming skills (preferably Python) and experience in AI/ML development.
  • Solid understanding of statistics, machine learning algorithms, and data science concepts.
  • Proficiency with tools and frameworks such as PyTorch, TensorFlow, or NumPy.
  • Hands-on experience in training, fine-tuning, and evaluating models.
  • Confidence in handling large datasets and building reproducible ML pipelines.
  • Communicate confidently in English and/or German.
  • A degree in Artificial Intelligence, Machine Learning, Data Science, Computer Science, or a comparable field; or equivalent practical expertise.

Nice to have

  • Experience with LLM architectures, embeddings, and transformer models.
  • Experience with model deployment, containerization, and infrastructure management (MLOps).
  • Ability to independently drive full AI projects from concept to production.
  • Basic knowledge of full-stack web technologies and infrastructure.

Culture & Benefits

  • Structured onboarding process with clear processes and a personal buddy.
  • In-house canteen with fresh, affordable lunches, plus free coffee, beverages, and fresh fruit.
  • EGYM Wellpass for access to over 9,000 sports and wellness studios.
  • Anniversary bonuses, health bonus (5% of semi-annual gross salary for absence of sick leave), Christmas bonus, and employee discounts through Corporate Benefits.

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