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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Здесь предстоит работать с AI и MLOps на современном стеке, а компания заявляет поддержку профессионального роста. При этом в консалтинге проекты и нагрузка могут меняться в зависимости от клиента.
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Актуальные технологииФокус на AIОсобенности консалтинга
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Текст:
Hirify AI/Оригинал
TL;DR
Consultant / AI Engineer (Data Science / Artificial Intelligence): Developing production-ready AI and machine learning systems, industrializing ML platforms with MLOps, and building cloud-based analytics systems with an accent on end-to-end solution delivery, scalability, and reliability. Focus on designing advanced analytics platforms, deploying AI/ML solutions, and applying Python, Docker, Kubernetes, Databricks, MLflow, and Vertex AI to complex data challenges.
Location: Milton Keynes or London, UK; hybrid
Company
hirify.global is a global consulting firm dedicated to Data, Analytics, and AI solutions, delivering end-to-end support across the data value chain for clients in diverse industries.
What you will do
Develop AI solutions from identifying business objectives and challenges through building production-ready systems.
Lead the industrialization of machine learning systems using MLOps practices for scalability and reliability.
Design and implement advanced analytics platforms and cloud-based systems for large-scale data science operations.
Use cloud tools and platforms to develop and deploy data science and MLOps solutions.
Requirements
Degree in Computer Engineering, Telecommunications Engineering, software engineering, or a related technical discipline.
At least 4 years of experience as a machine learning engineer or in a similar role, including hands-on work building and deploying AI and ML solutions.
Solid understanding of data science fundamentals, solution lifecycles, and MLOps practices.
Proficiency in software development and implementation of AI/ML systems.
Experience with Python, R, Docker, Kubernetes, Azure Databricks, MLflow, and Google Vertex AI.
Nice to have
Master’s or Ph.D. in big data, artificial intelligence, or a related field.
Experience in data and analytics consulting or a similar domain.
Experience in data engineering or other data value chain roles.
Hands-on cloud experience with infrastructure, data pipelines, and AI/ML system monitoring.
Relevant ML system development certifications from Azure, AWS, or Google Cloud.
Culture & Benefits
Full-time hybrid work based in Milton Keynes or London.
Work on AI, data, and analytics projects with industry-leading clients across varied business contexts.
Customized career plans, continuous learning, and development opportunities.
Inclusive culture supporting independent work and collaboration with peers.
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