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Machine Learning Engineer III (MLOps)

55 500 - 78 000
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

Текст:
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TL;DR
Machine Learning Engineer III (MLOps) (ML infrastructure): Building scalable infrastructure for training, deploying, serving, and monitoring machine learning systems for ranking, recommendations, and pricing optimization with an accent on data pipelines, distributed systems, and production reliability. Focus on optimizing compute resources and low-latency inference, implementing CI/CD and observability, and streamlining collaboration between ML engineering and data science.

Location: Madrid, Spain

Salary: €55,500–€78,000 total cash annually, with potential pay up to €89,000 based on sustained performance.

Company

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

What you will do

  • Design and implement scalable ML infrastructure for training, deployment, and serving in batch and real-time environments.
  • Build and maintain large-scale data pipelines for processing and feature engineering.
  • Optimize compute resources and model-serving performance, including low-latency inference.
  • Implement monitoring, logging, alerting, and CI/CD practices for production ML systems.
  • Collaborate with ML scientists to streamline the model development-to-production workflow.
  • Research technologies, mentor junior engineers, and communicate technical solutions to stakeholders.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.
  • 3+ years of experience in software, data, or ML engineering roles.
  • Strong problem-solving skills, proficiency in Python, and experience with TensorFlow or PyTorch.
  • Understanding of ML algorithms, model architectures, and scalable, reliable ML systems.
  • Exposure to AWS or GCP, Docker, Kubernetes, Spark, and Kafka.
  • Familiarity with CI/CD tools such as GitHub Actions and model-serving technologies such as MLflow.

Culture & Benefits

  • Paid time off and medical, dental, and vision coverage.
  • Employee Assistance Program and wellness reimbursement.
  • Travel reimbursement, travel discounts, and IATAN membership.
  • Inclusive and accessible recruiting experience with accommodation support.

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