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9 дней назад

Machine Learning Engineer (MLOps, GCP, GenAI)

Формат работы
hybrid
Тип работы
project
Грейд
middle/senior
Английский
b2
Страна
Netherlands
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
Machine Learning Engineer (MLOps, GCP, GenAI) (Production AI): Building production-ready ML, LLM, and RAG solutions on Google Cloud Platform for airline operations with an accent on scalable infrastructure, model deployment, and operational reliability. Focus on productionising models end to end, developing retraining and monitoring workflows, and integrating AI systems into flight operations, workforce planning, meal planning, and delay optimisation.

Location: Amsterdam, North Holland, Netherlands; hybrid work with 1 to 2 days per week at the office near Schiphol

Salary: Negotiable EUR / Year

Company

hirify.global provides professional staffing and project solutions for technology startups and global organizations through employed professionals and contractors.

What you will do

  • Productionise machine learning models and integrate them into operational systems from data preparation through deployment, monitoring, and retraining.
  • Build and improve scalable machine learning infrastructure on Google Cloud Platform.
  • Develop and deploy LLM and RAG solutions for production use.
  • Support AI applications for flight operations, workforce planning, meal planning, and delay optimisation.
  • Apply engineering practices including testing, CI/CD, Git, and code reviews.

Requirements

  • 4+ years of experience in machine learning engineering, MLOps, or software development.
  • Strong Python and software engineering skills.
  • Experience deploying and maintaining machine learning models in production.
  • Experience with cloud-based machine learning, preferably GCP, as well as Docker, SQL, REST APIs, and Terraform.
  • Hands-on experience with LLMs and RAG.

Culture & Benefits

  • Work with a multidisciplinary team of ML Engineers, Data Scientists, and Product Owners.
  • Build AI products with a direct operational impact for a major Dutch airline.
  • Work within an international network of professionals and projects.

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