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Senior Machine Learning Engineer (AI)

70 000 - 98 000
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Machine Learning Engineer (ML Ops/AI): Architecting and operating the infrastructure for deploying ML solutions, managing data pipelines, and optimizing compute resources for ranking, recommendation, and pricing systems with an accent on scalability and production-grade reliability. Focus on designing end-to-end ML infrastructure, evolving ML Ops practices, and leading the model development-to-production workflow.

Location: Madrid, Spain

Salary: €70,000 - €98,000

Company

Global travel company providing innovative technology and distribution solutions to B2B partners and consumers through brands like Expedia, Hotels.com, and Vrbo.

What you will do

  • Architect and own end-to-end ML infrastructure for training, deployment, and serving across batch and real-time environments.
  • Define and drive technical standards for ML systems, including reliability, observability, and performance benchmarks.
  • Lead the design and implementation of scalable data pipelines for large-scale feature engineering and model training.
  • Establish and evolve ML Ops practices, including CI/CD pipelines, monitoring, alerting, and A/B testing frameworks.
  • Serve as a senior technical partner to ML scientists, leading the model development-to-production workflow for critical systems.
  • Mentor junior and mid-level engineers, lead design and code reviews, and raise the technical bar across the team.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.
  • 5+ years of experience in Software, Data, or ML engineering roles with a clear track record of delivering production ML systems.
  • Deep proficiency in Python and hands-on experience with ML frameworks like TensorFlow or PyTorch.
  • Proficiency with cloud platforms (AWS, GCP), containerization (Docker, Kubernetes), and distributed data systems (Spark, Kafka).
  • Proven experience with ML model serving technologies (e.g., MLflow, TensorFlow Serving) and CI/CD tooling.

Culture & Benefits

  • Medical, dental, and vision coverage.
  • Paid time off and Employee Assistance Program.
  • Wellness and travel reimbursement.
  • Travel discounts and International Airlines Travel Agent Network (IATAN) membership.
  • Supportive environment emphasizing ownership mindset and operating with excellence.

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