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7 месяцев назад

Applied AI Forward Deployed Machine Learning Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
c2
Страна
France/UK/Netherlands +3 еще
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

Applied AI Forward Deployed Machine Learning Engineer (AI): Deploy and implement advanced AI and LLM-based products in production across multiple industries with an accent on fine-tuning, GenAI applications, and customer collaboration. Focus on solving complex technical challenges, driving AI adoption, and working closely with customers and research teams.

Location: On-site in Paris, London, Luxembourg, Marseille, Amsterdam, Munich

Company

hirify.global is a product company focused on developing and deploying state-of-the-art AI and machine learning solutions, including open-source projects impacting millions.

What you will do

  • Deploy AI use cases with significant business impact across various industries.
  • Work on state-of-the-art GenAI applications from consumer to industrial products.
  • Collaborate with researchers and engineers on complex projects involving fine-tuning and LLM applications.
  • Participate in pre-sales calls to understand client needs and provide technical guidance.
  • Collaborate with product and science teams to improve product and model capabilities based on feedback.

Requirements

  • Fluent English required.
  • 2+ years experience as a technical contributor on AI-based products.
  • Proven experience in AI/ML product implementation with APIs, backend, and frontend.
  • Experience in fine-tuning LLMs and advanced RAG or agentic use cases.
  • Strong Python coding skills and understanding of ML and LLM algorithms.
  • Excellent communication skills to explain complex technical concepts to diverse audiences.

Nice to have

  • Contributions to open-source LLM projects.
  • Experience as Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager.
  • Experience with deep learning using PyTorch.

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