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5 дней назад

Machine Learning Engineer III (MLOps)

55 500 - 78 000€
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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): Building and operating scalable ML infrastructure, data pipelines, and model-serving systems for ranking, recommendation, and pricing optimization with an accent on deployment, performance, and reliability. Focus on designing training and real-time serving workflows, optimizing compute for low-latency inference, and implementing monitoring, logging, alerting, and CI/CD for production ML systems.

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 operating consumer brands, a B2B travel technology business, and travel advertising offerings.

What you will do

  • Design and implement scalable ML infrastructure for training, deployment, and batch and real-time serving.
  • Build and maintain large-scale data pipelines and feature engineering workflows.
  • Optimize compute resources and model-serving performance for low-latency inference.
  • Implement monitoring, logging, alerting, and ML Ops practices, including CI/CD pipelines.
  • Collaborate with ML scientists to streamline model development and production workflows.
  • 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

  • Employee benefits include 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.

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