Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Это структурированная стартовая позиция в AI с наставничеством и практикой, но о проектах и работе с развёртыванием моделей рассказано мало.
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Мало деталей о работеСовременный стек AIОбучение с наставникомПерспективная область
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Текст:
Hirify AI/Оригинал
TL;DR
Graduate AI Engineer (AI/Machine Learning): Supporting the development of machine learning models and data pipelines with an accent on data preprocessing, exploratory analysis, and model optimisation. Focus on implementing algorithms, testing neural networks, natural language processing and computer vision systems, and learning model deployment under senior mentorship.
Location: Hybrid remote in Staines-upon-Thames, United Kingdom; Monday to Friday schedule.
Salary: £25K per year.
Company
hirify.global works on artificial intelligence and machine learning innovation for complex problems and practical applications.
What you will do
Assist with data collection, preprocessing, and cleaning.
Support the development and training of machine learning models.
Collaborate on AI research projects under the guidance of senior AI engineers.
Perform exploratory data analysis to identify patterns and trends.
Document project milestones, coding progress, and learnings.
Work with neural networks, natural language processing, and computer vision technologies.
Requirements
Demonstrated interest in artificial intelligence and machine learning.
Currently pursuing or recently completed a degree in Computer Science, Mathematics, Data Science, or a related field.
Basic proficiency in Python and familiarity with machine learning libraries.
Ability to break down complex problems and communicate solutions.
Strong desire to learn new technologies and methodologies.
Ability to collaborate with others and contribute to team success.
Nice to have
Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch.
Understanding of data structures, algorithms, and mathematical foundations for AI.
Familiarity with AWS, Google Cloud, or Azure.
Previous internship or project experience in AI or machine learning.
Culture & Benefits
One-on-one mentorship with industry experts and guidance from experienced AI professionals.
Flexible working hours that can be adjusted around an academic schedule.
Support for portfolio and skills development toward a future AI role.
Access to professional events and AI industry conferences.
Company pension, life insurance, private medical insurance, and on-site parking.
Inclusive environment welcoming candidates from diverse backgrounds and those seeking flexible working arrangements.
Hiring process
Submit a resume and cover letter explaining interest in AI and the apprenticeship programme.
Include relevant projects or coursework demonstrating technical skills.
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