Назад
Company hidden
обновлено 15 часов назад

Senior Machine Learning Engineer

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
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Senior Machine Learning Engineer (ML Infrastructure): Architecting and operating infrastructure for ML training, deployment, serving, data pipelines, ranking, recommendation, and pricing optimization systems with an accent on distributed systems, ML Ops, and production scalability. Focus on designing reliable batch and real-time platforms, optimizing performance, building CI/CD and monitoring frameworks, and leading model development-to-production workflows.

Location: Madrid, Spain

Salary: €70,000–€98,000 total cash annually, with potential pay up to €112,000 based on sustained performance.

Company

hirify.global is a global travel company providing consumer travel brands, B2B technology and distribution solutions, and travel advertising services.

What you will do

  • Architect and own end-to-end ML infrastructure for training, deployment, and serving in batch and real-time environments.
  • Define technical standards for reliability, observability, performance, and scalable ML system design.
  • Design and implement large-scale data pipelines for feature engineering and model training.
  • Improve ML platform performance and reliability by identifying and resolving system bottlenecks.
  • Establish ML Ops practices covering CI/CD, monitoring, alerting, and A/B testing frameworks.
  • Partner with ML scientists and product stakeholders, mentor engineers, lead reviews, and guide technical strategy.

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, with a record of delivering production ML systems.
  • Strong problem-solving skills, deep Python proficiency, and hands-on experience with TensorFlow or PyTorch.
  • Strong understanding of ML algorithms, model architectures, and scalable ML infrastructure.
  • Experience with AWS or GCP, Docker, Kubernetes, Spark, Kafka, MLflow or TensorFlow Serving, CI/CD tooling, and ML platform design.
  • Ability to mentor engineers, lead technical discussions, and drive cross-functional alignment.

Culture & Benefits

  • Supportive environment built around traveler-first thinking, ownership, operational excellence, and collaboration.
  • Medical, dental, and vision coverage.
  • Paid time off and an Employee Assistance Program.
  • Wellness and travel reimbursement, travel discounts, and IATAN membership.
  • Inclusive and accessible recruiting experience with accommodation support available.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →