Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль четко сфокусирована на создании и внедрении AI-систем, включая LLM, RAG и MLOps; при этом в консалтинге проекты и приоритеты могут меняться от клиента к клиенту.
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Клиентские проектыСовременный AI-стекЧеткие задачиРазвитие и обучение
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior AI Engineer (Python/LLM): Designing, building and industrializing AI solutions for real operational environments with an accent on NLP, LLMs, semantic search, RAG and conversational AI. Focus on training and deploying production-ready models, implementing MLOps and evaluation strategies, and integrating AI applications with data and software systems.
Location: Brussels/Flanders, Belgium
Company
hirify.global provides end-to-end corporate technology and software solutions through a network of more than 51,000 professionals in nearly 30 countries.
What you will do
Design, build and industrialize AI solutions for concrete business and operational use cases.
Develop traditional AI and generative AI solutions spanning machine learning, NLP, LLMs, semantic search, RAG and conversational AI.
Train, fine-tune, improve and deploy ML and AI models using production-ready Python for online, batch and real-time applications.
Build software components that make AI-driven use cases usable in practice.
Collaborate with Data Scientists, MLOps Engineers, Data Engineers, AI Architects and other specialists to integrate complete solutions.
Build new AI solutions or support clients in operating and improving existing solutions over the medium to long term.
Requirements
At least 4 years of experience as a Machine Learning Engineer, Data Scientist, MLOps Engineer or in a similar position.
Experience with traditional NLP, LLMs and conversational AI in both experimentation and production.
Experience with vector databases for semantic search and RAG solutions in production.
Strong software engineering background and ability to write production-ready Python code.
Experience with experiment tracking, model monitoring, LLM and NLP evaluation techniques, and deployment strategies.
Comfort with the machine learning lifecycle, MLOps and DevOps principles.
Experience with at least one cloud provider and good knowledge of the data ecosystem.
Ability to coach others, provide technical advice and direction, and work independently.
Master’s or PhD in Machine Learning, Artificial Intelligence, Computer Engineering or a related field; proficient in English and fluent in Dutch and/or French.
Culture & Benefits
Collaborative Data & AI team with knowledge sharing, technical deep dives and coaching.
Career development opportunities locally and internationally through the hirify.global Academy and wider professional network.
Benefits include mobility options such as a company car, insurance coverage, meal vouchers and eco-cheques.
Continuous learning opportunities and participation in team events.
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