Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко очерченная роль в AI и компьютерном зрении в финансируемом стартапе даёт опыт работы с промышленными моделями в продакшене, но отсутствие зарплатной вилки и ранняя стадия компании оставляют вопросы по компенсации и стабильности.
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Зарплата не указанаРиски стартапаСовременный стекAI для промышленностиПонятные задачи
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Delivery Engineer (AI/Computer Vision): Preparing video data, training and deploying computer vision machine learning models for an industrial AI platform with an accent on model performance, production deployment, and internal tooling. Focus on monitoring model results, improving machine learning pipelines, and collaborating with R&D and cross-functional teams.
Location: Wrocław, Poland; hybrid work with in-office collaboration and remote flexibility
Company
hirify.global is building an AI-enabled manufacturing platform that deploys AI Agents to monitor production floors, identify problems, and help manufacturers reduce downtime.
What you will do
Prepare video data for machine learning model training.
Train machine learning models and optimize their performance and accuracy using internal tooling.
Monitor and control model results through internal tooling.
Deploy models to production environments.
Improve internal tooling and model pipelines with the R&D team.
Collaborate with cross-functional teams to align project goals and deliverables.
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field.
Experience running machine learning pipelines and deploying models to production.
Strong understanding of machine learning, especially computer vision.
Experience with Linux and Python, plus familiarity with TensorFlow or PyTorch.
Strong problem-solving skills, attention to detail, and collaborative communication.
Good written and verbal English communication skills.
Nice to have
Experience with AWS, GCP, or Azure and with Docker.
Knowledge of computer vision data preprocessing and augmentation.
Previous experience in a startup or a similar role.
Open-source contributions in machine learning or computer vision.
Experience with agile methodologies and project management tools such as Linear.
Culture & Benefits
Opportunity to shape an early-stage, Y Combinator-backed company and work across manufacturing industries.
Cross-functional team with a “best idea wins” culture and opportunities for professional growth.
Competitive salary, meaningful equity package, and comprehensive benefits.
Flat hierarchies and minimal bureaucracy.
Collaboration with AI PhDs, former Google employees, and serial entrepreneurs from around the world, including regular team events.
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